References

Abramowitz, E. G., & Torem, M. S. (2018). The Roots and Evolution of Ego-State Theory and Therapy. International Journal of Clinical and Experimental Hypnosis, 66(4), 353–370. https://doi.org/10.1080/00207144.2018.1494435

Alonso, J., Liu, Z., Evans‐Lacko, S., Sadikova, E., Sampson, N., Chatterji, S., Abdulmalik, J., Aguilar‐Gaxiola, S., Al‐Hamzawi, A., & Andrade, L. H. (2018). Treatment gap for anxiety disorders is global: Results of the World Mental Health Surveys in 21 countries. Depression and Anxiety, 35(3), 195–208.

Altman, D. G., & Matthews, J. N. (1996). Statistics notes: Interaction 1: heterogeneity of effects. BMJ, 313(7055), 486.

Andrade, L. H. , Alonso, J., Mneimneh, Z., Wells, J. E., Al-Hamzawi, A., Borges, G., Bromet, E., Bruffaerts, R., Girolamo, G. de, Graaf, R. de, Florescu, S., Gureje, O., Hinkov, H. R., Hu, C., Huang, Y., Hwang, I., Jin, R., Karam, E. G., Kovess-Masfety, V., … Kessler, R. C. (2014). Barriers to mental health treatment: Results from the WHO World Mental Health surveys. Psychological Medicine, 44(6), 1303–1317. https://doi.org/10.1017/S0033291713001943

Andrews, G., Issakidis, C., Sanderson, K., Corry, J., & Lapsley, H. (2004). Utilising survey data to inform public policy: Comparison of the cost-effectiveness of treatment of ten mental disorders. British Journal of Psychiatry, 184(6), 526–533. Scopus. https://doi.org/10.1192/bjp.184.6.526

American Psychological Association (2008). Reporting Standards for Research in Psychology. The American Psychologist, 63(9), 839–851. https://doi.org/10.1037/0003-066X.63.9.839

Arias, D., Saxena, S., & Verguet, S. (2022). Quantifying the global burden of mental disorders and their economic value. EClinicalMedicine, 54. https://doi.org/10.1016/j.eclinm.2022.101675

Armitage, P. (2003). Fisher, Bradford Hill, and randomization. International Journal of Epidemiology, 32(6), 925–928. https://doi.org/10.1093/ije/dyg286

Aronow, P. M., & Miller, B. T. (2019). Identification with Potential Outcomes. In Foundations of Agnostic Statistics (1st ed.). Cambridge University Press.

Bandelow, B., Werner, A. M., Kopp, I., Rudolf, S., Wiltink, J., & Beutel, M. E. (2022). The German Guidelines for the treatment of anxiety disorders: First revision. European Archives of Psychiatry and Clinical Neuroscience, 272(4), 571–582. https://doi.org/10.1007/s00406-021-01324-1

Bareinboim, E., & Pearl, J. (2016). Causal inference and the data-fusion problem. Proceedings of the National Academy of Sciences, 113(27), 7345–7352. https://doi.org/10.1073/pnas.1510507113

Bashkirov, A. G. (2006). Renyi entropy as a statistical entropy for complex systems. Theoretical and Mathematical Physics, 149(2), 1559–1573.

Basterfield, C., & Lilienfeld, S. O. (2020). The History of the Early Controlled Trial: Lessons for Contemporary Clinical Psychologists and Students. https://psyarxiv.com/xqes2/

Baumeister, H., & Montag, C. (2023). Digital Phenotyping and Mobile Sensing in Psychoinformatics—A Rapidly Evolving Interdisciplinary Research Endeavor. In C. Montag & H. Baumeister (Eds.), Digital Phenotyping and Mobile Sensing (pp. 1–9). Springer International Publishing. https://doi.org/10.1007/978-3-030-98546-2_1

Baumeister, H., Paganini, S., Sander, L. B., Lin, J., Schlicker, S., Terhorst, Y., Moshagen, M., Bengel, J., Lehr, D., & Ebert, D. D. (2021). Effectiveness of a guided internet-and mobile-based intervention for patients with chronic back pain and depression (WARD-BP): A multicenter, pragmatic randomized controlled trial. Psychotherapy and Psychosomatics, 90(4), 255–268.

Baxter, A. J. , Scott, K. M., Ferrari, A. J., Norman, R. E., Vos, T., & Whiteford, H. A. (2014). Challenging the myth of an “epidemic” of common mental disorders: Trends in the global prevalence of anxiety and depression between 1990 and 2010. Depression and Anxiety, 31(6), 506–516.

Beck, A. T. (2008). The Evolution of the Cognitive Model of Depression and Its Neurobiological Correlates. American Journal of Psychiatry, 165(8), 969–977. https://doi.org/10.1176/appi.ajp.2008.08050721

Berkman, E. T., & Wilson, S. M. (2021). So Useful as a Good Theory? The Practicality Crisis in (Social) Psychological Theory. Perspectives on Psychological Science, 16(4), 864–874. https://doi.org/10.1177/1745691620969650

Berkowitz, L. (1989). Frustration-aggression hypothesis: Examination and reformulation. Psychological Bulletin, 106(1), 59–73. https://doi.org/10.1037/0033-2909.106.1.59

Bernardo, J. M. (1996). The concept of exchangeability and its applications. Far East Journal of Mathematical Sciences, 4, 111–122.

Beutler, L. E. (2002). The dodo bird is extinct. Clinical Psychology: Science and Practice, 9(1), 30–34. https://psycnet.apa.org/journals/cps/9/1/30/

Bolker, B. M. , Brooks, M. E., Clark, C. J., Geange, S. W., Poulsen, J. R., Stevens, M. H. H., & White, J.-S. S. (2009). Generalized linear mixed models: A practical guide for ecology and evolution. Trends in Ecology & Evolution, 24(3), 127–135.

Borsboom, D., van der Maas, H. L. J., Dalege, J., Kievit, R. A., & Haig, B. D. (2021). Theory Construction Methodology: A Practical Framework for Building Theories in Psychology. Perspectives on Psychological Science, 16(4), 756–766. https://doi.org/10.1177/1745691620969647

Breiman, L. (1996). Stacked regressions. Machine Learning, 24, 49–64.

Bretschneider, J., Janitza, S., Jacobi, F., Thom, J., Hapke, U., Kurth, T., & Maske, U. E. (2018). Time trends in depression prevalence and health-related correlates: Results from population-based surveys in Germany 1997–1999 vs. 2009–2012. BMC Psychiatry, 18, 1–13.

Brohan, E., Chowdhary, N., Dua, T., Barbui, C., Thornicroft, G., Kestel, D., Ali, A., Assanangkornchai, S., Brodaty, H., & Carli, V. (2024). The WHO Mental Health Gap Action Programme for mental, neurological, and substance use conditions: The new and updated guideline recommendations. The Lancet Psychiatry, 11(2), 155–158.

Brown, H., & Prescott, R. (2014). Applied mixed models in medicine (1st ed.). Chichester, UK: John Wiley & Sons.

Budd, R., & Hughes, I. (2009). The Dodo Bird Verdict—controversial, inevitable and important: A commentary on 30 years of meta-analyses. Clinical Psychology & Psychotherapy, 16(6), 510–522. https://doi.org/10.1002/cpp.648

Bundesärztekammer (BÄK), Kassenärztliche Bundesvereinigung (KBV), & Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften (AWMF). (2022). Nationale VersorgungsLeitlinie Unipolare Depression – Langfassung, Version 3.0. 2022. doi.org/10.6101/AZQ/000493

Buntrock, C., Harrer, M., Sprenger, A. A., Illing, S., Sakata, M., Furukawa, T. A., Ebert, D. D., Cuijpers, P. (2024). Psychological interventions to prevent the onset of major depression in adults: A systematic review and individual participant data meta-analysis. The Lancet Psychiatry, 11(12), 990–1001.

Busfield, J. (2012). Challenging claims that mental illness has been increasing and mental well-being declining. Social Science & Medicine, 75(3), 581–588. https://doi.org/10.1016/j.socscimed.2012.02.053

Caplan, E. (1998). Popularizing American psychotherapy: The Emmanuel Movement, 1906–1910. History of Psychology, 1(4), 289–314. https://doi.org/10.1037/1093-4510.1.4.289

Carpenter, J. K. , Andrews, L. A., Witcraft, S. M., Powers, M. B., Smits, J. A. J., & Hofmann, S. G. (2018). Cognitive behavioral therapy for anxiety and related disorders: A meta-analysis of randomized placebo-controlled trials. Depression and Anxiety, 35(6), 502–514. https://doi.org/10.1002/da.22728

Cartwright, N. (1989). Nature’s Capacities and their Measurement (1st ed.). Oxford, UK: Clarendon /Oxford University Press. ISBN 0‐19‐823507‐0.

Cartwright, N. (1994). Fundamentalism vs. The Patchwork of Laws. Proceedings of the Aristotelian Society, 94, 279–292. https://www.jstor.org/stable/4545199

Cartwright, N. (1999). The dappled world: A study of the boundaries of science (1st ed.). Cambridge, UK: Cambridge University Press.

Castiglioni, M., & Laudisa, F. (2015). Toward psychiatry as a ‘human’ science of mind. The case of depressive disorders in DSM-5. Frontiers in Psychology, 5, 1517.

Castro, A., Gili, M., Ricci-Cabello, I., Roca, M., Gilbody, S., Perez-Ara, M. Á., Seguí, A., & McMillan, D. (2020). Effectiveness and adherence of telephone-administered psychotherapy for depression: A systematic review and meta-analysis. Journal of Affective Disorders, 260, 514–526. https://doi.org/10.1016/j.jad.2019.09.023

Chalkou, K., Steyerberg, E., Egger, M., Manca, A., Pellegrini, F., & Salanti, G. (2021). A two-stage prediction model for heterogeneous effects of treatments. Statistics in Medicine, 40(20), 4362–4375. https://doi.org/10.1002/sim.9034

Chambless, D. L., & Hollon, S. D. (1998). Defining empirically supported therapies. Journal of Consulting and Clinical Psychology, 66(1), 7.

Chang, W. (2022). R6: Encapsulated Classes with Reference Semantics. https://r6.r-lib.org, https://github.com/r-lib/R6/

Chekroud, A. M. , Hawrilenko, M., Loho, H., Bondar, J., Gueorguieva, R., Hasan, A., Kambeitz, J., Corlett, P. R., Koutsouleris, N., Krumholz, H. M., Krystal, J. H., & Paulus, M. (2024). Illusory generalizability of clinical prediction models. Science, 383(6679), 164–167. https://doi.org/10.1126/science.adg8538

Chen, P., Feng, Y., Li, X.-H., Li, J.-X., Wang, Y.-Y., Zheng, W.-Y., Su, Z., Cheung, T., Ungvari, G. S., Ng, C. H., Sha, S., & Xiang, Y.-T. (2023). Systematic reviews and meta-analyses on major depressive disorder: A bibliometric perspective. Frontiers in Psychiatry, 14. https://doi.org/10.3389/fpsyt.2023.1136125

Chen, S., Tian, L., Cai, T., & Yu, M. (2017). A general statistical framework for subgroup identification and comparative treatment scoring. Biometrics, 73(4), 1199–1209. https://doi.org/10.1111/biom.12676

Chesney, E., Goodwin, G. M., & Fazel, S. (2014). Risks of all-cause and suicide mortality in mental disorders: A meta-review. World Psychiatry, 13(2), 153–160. https://doi.org/10.1002/wps.20128

Cho, K., Van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014). Learning phrase representations using RNN encoder-decoder for statistical machine translation. ArXiv Preprint ArXiv:1406.1078.

Chung, Y., Rabe-Hesketh, S., Dorie, V., Gelman, A., & Liu, J. (2013). A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models. Psychometrika, 78(4), 685–709. https://doi.org/10.1007/s11336-013-9328-2

Cicchetti, D., & Rogosch, F. A. (1996). Equifinality and multifinality in developmental psychopathology. Development and Psychopathology, 8(4), 597–600.

Ciharova, M., Karyotaki, E., Miguel, C., Walsh, E., de Ponti, N., Amarnath, A., van Ballegooijen, W., Riper, H., Arroll, B., & Cuijpers, P. (2024). Amount and frequency of psychotherapy as predictors of treatment outcome for adult depression: A meta-regression analysis. Journal of Affective Disorders. https://www.sciencedirect.com/science/article/pii/S0165032724008061

Cipriani, A., Furukawa, T. A., Salanti, G., Chaimani, A., Atkinson, L. Z., Ogawa, Y., Leucht, S., Ruhe, H. G., Turner, E. H., Higgins, J. P. T., Egger, M., Takeshima, N., Hayasaka, Y., Imai, H., Shinohara, K., Tajika, A., Ioannidis, J. P. A., & Geddes, J. R. (2018). Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: A systematic review and network meta-analysis. The Lancet, 391(10128), 1357–1366. https://doi.org/10.1016/S0140-6736(17)32802-7

Cipriani, A., Seedat, S., Milligan, L., Salanti, G., Macleod, M., Hastings, J., Thomas, J., Michie, S., Furukawa, T. A., & Gilbert, D. (2023). New living evidence resource of human and non-human studies for early intervention and research prioritisation in anxiety, depression and psychosis. BMJ Mental Health, 26(1). https://mentalhealth.bmj.com/content/26/1/e300759.abstract

Claesen, A., Lakens, D., & van Dongen, N. (2022). Severity and Crises in Science: Are We Getting It Right When We’re Right and Wrong When We’re Wrong? https://psyarxiv.com/ekhc8/

Cohen, Z. D. , Delgadillo, J., & DeRubeis, R. J. (2021). Personalized Treatment Approaches (chap. 19). In Bergin and Garfield’s Handbook of Psychotherapy and Behavior Change. London, UK: Wiley.

Collins, L. M. (2018). Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST). New York, NY: Springer International Publishing. https://doi.org/10.1007/978-3-319-72206-1

Crabtree, A. (2019). 1784: The Marquis de Puységur and the psychological turn in the west. Journal of the History of the Behavioral Sciences, 55(3), 199–215. https://doi.org/10.1002/jhbs.21974

Craske, M. G. , Treanor, M., Conway, C. C., Zbozinek, T., & Vervliet, B. (2014). Maximizing exposure therapy: An inhibitory learning approach. Behaviour Research and Therapy, 58, 10–23. https://doi.org/10.1016/j.brat.2014.04.006

Crofton, J. (2006). The MRC randomized trial of streptomycin and its legacy: A view from the clinical front line. Journal of the Royal Society of Medicine, 99(10), 531–534.

Cuijpers, P. (1997). Bibliotherapy in unipolar depression: A meta-analysis. Journal of Behavior Therapy and Experimental Psychiatry, 28(2), 139–147. doi.org/10.1016/S0005-7916(97)00005-0

Cuijpers, P. (2023). The Dodo Bird and the need for scalable interventions in global mental health—A commentary on the 25th anniversary of Wampold et al. (1997). Psychotherapy Research, 33(4), 524–526. https://doi.org/10.1080/10503307.2022.2138792

Cuijpers, P., Beekman, A. T. F., & Reynolds, C. F. (2012). Preventing Depression: A Global Priority. JAMA, 307(10), 1033–1034. https://doi.org/10.1001/jama.2012.271

Cuijpers, P., Ciharova, M., Quero, S., Miguel, C., Driessen, E., Harrer, M., Purgato, M., Ebert, D., & Karyotaki, E. (2022). The Contribution of “Individual Participant Data” Meta-Analyses of Psychotherapies for Depression to the Development of Personalized Treatments: A Systematic Review. Journal of Personalized Medicine, 12(1), 93.

Cuijpers, P., Harrer, M., Miguel, C., & Karyotaki, E. (2023). Five decades of research on psychological treatments of depression A historical and meta-analytic overview. American Psychologist. https://doi.org/10.1037/amp0001250

Cuijpers, P., Karyotaki, E., Reijnders, M., & Ebert, D. D. (2019). Was Eysenck right after all? A reassessment of the effects of psychotherapy for adult depression. Epidemiology and Psychiatric Sciences, 28(1), 21–30.

Cuijpers, P., Miguel, C., Ciharova, M., Harrer, M., Basic, D., Cristea, I. A., de Ponti, N., Driessen, E., Hamblen, J., Larsen, S. E., Matbouriahi, M., Papola, D., Pauley, D., Plessen, C. Y., Pfund, R. A., Setkowski, K., Schnurr, P. P., van Ballegooijen, W., Wang, Y., … Karyotaki, E. (2024). Absolute and relative outcomes of psychotherapies for eight mental disorders: A systematic review and meta-analysis. World Psychiatry, 23(2), 267–275. https://doi.org/10.1002/wps.21203

Cuijpers, P., Miguel, C., Ciharova, M., Harrer, M., Basic, D., Cristea, I., de Ponti, N., Driessen, E., Hamblen, J., Larsen, S. E., Matbouriahi, M., Papola, D., Pauley, D., Plessen, Y., Pfund, R. A., Setkowski, K., Schnurr, P., van Ballegooijen, W., Wang, Y., … Karyotaki, E. (2023). Absolute and relative effects of psychological treatments for eight mental disorders: A systematic review and meta-analysis (in press). World Psychiatry. https://doi.org/10.17605/osf.io/rpw6g

Cuijpers, P., Miguel, C., Harrer, M., Plessen, C. Y., Ciharova, M., Ebert, D., & Karyotaki, E. (2023). Cognitive behavior therapy vs. Control conditions, other psychotherapies, pharmacotherapies and combined treatment for depression: A comprehensive meta‐analysis including 409 trials with 52,702 patients. World Psychiatry, 22(1), 105–115.

Cuijpers, P., Miguel, C., Papola, D., Harrer, M., & Karyotaki, E. (2022). From living systematic reviews to meta-analytical research domains. Evidence-Based Mental Health, 25(4), 145–147.

Cuijpers, P., Muñoz, R. F., Clarke, G. N., & Lewinsohn, P. M. (2009). Psychoeducational treatment and prevention of depression: The “coping with depression” course thirty years later. Clinical Psychology Review, 29(5), 449–458. https://doi.org/10.1016/j.cpr.2009.04.005

Cuijpers, P., Pineda, B. S., Quero, S., Karyotaki, E., Struijs, S. Y., Figueroa, C. A., Llamas, J. A., Furukawa, T. A., & Muñoz, R. F. (2021). Psychological interventions to prevent the onset of depressive disorders: A meta-analysis of randomized controlled trials. Clinical Psychology Review, 83, 101955. https://doi.org/10.1016/j.cpr.2020.101955

Cuijpers, P., Reijnders, M., & Huibers, M. J. H. (2019). The Role of Common Factors in Psychotherapy Outcomes. Annual Review of Clinical Psychology, 15, 207–231. https://doi.org/10.1146/annurev-clinpsy-050718-095424

Cuijpers, P., & Smit, F. (2002). Excess mortality in depression: A meta-analysis of community studies. Journal of Affective Disorders, 72(3), 227–236.

Cuijpers, P., Straten, A. van, & Warmerdam, L. (2007). Problem solving therapies for depression: A meta-analysis. European Psychiatry, 22(1), 9–15. doi.org/10.1016/j.eurpsy.2006.11.001

Cuijpers, P., Turner, E. H., Koole, S. L., van Dijke, A., & Smit, F. (2014). What Is the Threshold for a Clinically Relevant Effect? The Case of Major Depressive Disorders. Depression and Anxiety, 31(5), 374–378. https://doi.org/10.1002/da.22249

Cuijpers, P., van Straten, A., Warmerdam, L., & van Rooy, M. J. (2010). Recruiting participants for interventions to prevent the onset of depressive disorders: Possible ways to increase participation rates. BMC Health Services Research, 10(1), 181. https://doi.org/10.1186/1472-6963-10-181

Daly, R. W. (2007). Before Depression: The Medieval Vice of Acedia. Psychiatry: Interpersonal and Biological Processes, 70(1), 30–51. https://doi.org/10.1521/psyc.2007.70.1.30

De Graaf, R., Ten Have, M., Van Gool, C., & Van Dorsselaer, S. (2012). Prevalence of mental disorders, and trends from 1996 to 2009. Results from NEMESIS-2. Tijdschrift Voor Psychiatrie, 54(1), 27–38.

Degenhard, J. (2024). Number of smartphone users worldwide from 2014 to 2029. https://archive.fo/LNV5p

Diaconis, P., & Freedman, D. (1980). Finite exchangeable sequences. The Annals of Probability, 745–764.

Díaz Muñoz, I., & van der Laan, M. J. (2011). Super learner based conditional density estimation with application to marginal structural models. The International Journal of Biostatistics, 7(1), 0000102202155746791356.

Diez-Roux, A. V. (2000). Multilevel Analysis in Public Health Research. Annual Review of Public Health, 21(1), 171–192. https://doi.org/10.1146/annurev.publhealth.21.1.171

Dowd, E. T. (2004). Cognition and the cognitive revolution in psychotherapy: Promises and advances. Journal of Clinical Psychology, 60(4), 415–428. https://doi.org/10.1002/jclp.10253

Duncan, B. (2002). The legacy of Saul Rosenweig: The profundity of the dodo bird. Journal of Psychotherapy Integration, 12, 32–57. https://doi.org/10.1037//1053-0479.12.1.32

Dupré, J. (1993). The disorder of things: Metaphysical foundations of the disunity of science (1st ed.). Cambridge, MA: Harvard University Press.

Eagle, N., & Pentland, A. (2006). Reality mining: Sensing complex social systems. Personal and Ubiquitous Computing, 10, 255–268.

Ebert, D. D. , Daele, T. V., Nordgreen, T., Karekla, M., Compare, A., Zarbo, C., Brugnera, A., Øverland, S., Trebbi, G., Jensen, K. L., Kaehlke, F., & Baumeister, H. (2018). Internet- and Mobile-Based Psychological Interventions: Applications, Efficacy, and Potential for Improving Mental Health. European Psychologist. https://econtent.hogrefe.com/doi/abs/10.1027/1016-9040/a000318

Ebert, D. D. , Mortier, P., Kaehlke, F., Bruffaerts, R., Baumeister, H., Auerbach, R. P., Alonso, J., Vilagut, G., Martínez, K. U., Lochner, C., Cuijpers, P., Kuechler, A.-M., Green, J., Hasking, P., Lapsley, C., Sampson, N. A., Kessler, R. C. (2019). Barriers of mental health treatment utilization among first-year college students: First cross-national results from the WHO World Mental Health International College Student Initiative. International Journal of Methods in Psychiatric Research, 28(2), e1782. https://doi.org/10.1002/mpr.1782

Efthimiou, O., Hoogland, J., Debray, T. P. A., Seo, M., Furukawa, T. A., Egger, M., & White, I. R. (2023). Measuring the performance of prediction models to personalize treatment choice. Statistics in Medicine, 42(8), 1188–1206. https://doi.org/10.1002/sim.9665

Eisenberg, D., Golberstein, E., & Hunt, J. B. (2009). Mental health and academic success in college. The BE Journal of Economic Analysis & Policy, 9(1).

Ellenberger, H. F. (1994). The Discovery of the Unconscious: The History and Evolution of Dynamic Psychiatry. Waukegan, IL: Fontana Press.

Elliott, J. H. , Synnot, A., Turner, T., Simmonds, M., Akl, E. A., McDonald, S., Salanti, G., Meerpohl, J., MacLehose, H., Hilton, J., Tovey, D., Shemilt, I., Thomas, J., Agoritsas, T., Hilton, J., Perron, C., Akl, E., Hodder, R., Pestridge, C., … Pearson, L. (2017). Living systematic review: 1. Introduction—the why, what, when, and how. Journal of Clinical Epidemiology, 91, 23–30. https://doi.org/10.1016/j.jclinepi.2017.08.010

Eronen, M. I., & Bringmann, L. F. (2021). The Theory Crisis in Psychology: How to Move Forward. Perspectives on Psychological Science, 16(4), 779–788. doi.org/10.1177/1745691620970586

Evans-Lacko, S., Aguilar-Gaxiola, S., Al-Hamzawi, A., Alonso, J., Benjet, C., Bruffaerts, R., Chiu, W., Florescu, S., de Girolamo, G., & Gureje, O. (2018). Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) surveys. Psychological Medicine, 48(9), 1560–1571.

Feldmann, M., Kube, T., Rief, W., & Brakemeier, E. (2023). Testing Bayesian models of belief updating in the context of depressive symptomatology. International Journal of Methods in Psychiatric Research, 32(2), e1946. https://doi.org/10.1002/mpr.1946

Fergusson, D. M., & Woodward, L. J. (2002). Mental health, educational, and social role outcomes of adolescents with depression. Archives of General Psychiatry, 59(3), 225–231.

Fernández-Álvarez, H., & Fernández-Álvarez, J. (2019). Commentary: Why Cognitive Behavioral Therapy Is the Current Gold Standard of Psychotherapy. Frontiers in Psychiatry, 10. https://doi.org/10.3389/fpsyt.2019.00123

Ferrari, A. J. , Somerville, A., Baxter, A., Norman, R., Patten, S., Vos, T., & Whiteford, H. (2013). Global variation in the prevalence and incidence of major depressive disorder: A systematic review of the epidemiological literature. Psychological Medicine, 43(3), 471–481.

Feyerabend, P. (1980). Erkenntnis für freie Menschen (13th ed.). Frankfurt a. M.: Suhrkamp Verlag. ISBN: 978-3-518-11011-9.

Filatova, S., Upadhyaya, S., Kronström, K., Suominen, A., Chudal, R., Luntamo, T., Sourander, A., & Gyllenberg, D. (2019). Time trends in the incidence of diagnosed depression among people aged 5–25 years living in Finland 1995–2012. Nordic Journal of Psychiatry, 73(8), 475–481.

Fletcher, J. (2007). What is heterogeneity and is it important? BMJ, 334(7584), 94–96.

Fokkema, M., Edbrooke-Childs, J., & Wolpert, M. (2021). Generalized linear mixed-model (GLMM) trees: A flexible decision-tree method for multilevel and longitudinal data. Psychotherapy Research, 31(3), 329–341.

Fokkema, M., Smits, N., Zeileis, A., Hothorn, T., & Kelderman, H. (2018). Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees. Behavior Research Methods, 50(5), 2016–2034. https://doi.org/10.3758/s13428-017-0971-x

Fonagy, P. (2013). There is Room for Even More Doublethink: The Perilous Status of Psychoanalytic Research. Psychoanalytic Dialogues, 23(1), 116–122. https://doi.org/10.1080/10481885.20 13.754276

Forbes, M. K. , Baillie, A., Batterham, P. J., Calear, A., Kotov, R., Krueger, R. F., Markon, K. E., Mewton, L., Pellicano, E., Roberts, M., Rodriguez-Seijas, C., Sunderland, M., Watson, D., Watts, A. L., Wright, A. G. C., & Anna Clark, L. (2024). Reconstructing Psychopathology: A Data-Driven Reorganization of the Symptoms in the Diagnostic and Statistical Manual of Mental Disorders. Clinical Psychological Science. https://doi.org/10.1177/21677026241268345

Fortunato, L., & Galassi, M. (2021). The case for free and open source software in research and scholarship. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2197), 20200079. https://doi.org/10.1098/rsta.2020.0079

Foulkes, L., & Andrews, J. L. (2023). Are mental health awareness efforts contributing to the rise in reported mental health problems? A call to test the prevalence inflation hypothesis. New Ideas in Psychology, 69, 101010.

Frank, J. D., & Frank, J. B. (1993). Persuasion and Healing: A Comparative Study of Psychotherapy (3rd ed.). John Hopkins University Press.

Fridlund, A. J. , Beck, H. P., Goldie, W. D., & Irons, G. (2012). Little Albert: A neurologically impaired child. History of Psychology, 15(4), 302–327. https://doi.org/10.1037/a0026720

Fried, E. I., & Nesse, R. M. (2015). Depression is not a consistent syndrome: An investigation of unique symptom patterns in the STAR* D study. Journal of Affective Disorders, 172, 96–102.

Furukawa, T. A. , Shinohara, K., Sahker, E., Karyotaki, E., Miguel, C., Ciharova, M., Bockting, C. L. H., Breedvelt, J. J. F., Tajika, A., Imai, H., Ostinelli, E. G., Sakata, M., Toyomoto, R., Kishimoto, S., Ito, M., Furukawa, Y., Cipriani, A., Hollon, S. D., & Cuijpers, P. (2021). Initial treatment choices to achieve sustained response in major depression: A systematic review and network meta-analysis. World Psychiatry, 20(3), 387–396. https://doi.org/10.1002/wps.20906

Furukawa, T. A. , Suganuma, A., Ostinelli, E. G., Andersson, G., Beevers, C. G., Shumake, J., Berger, T., Boele, F. W., Buntrock, C., Carlbring, P., Choi, I., Christensen, H., Mackinnon, A., Dahne, J., Huibers, M. J. H., Ebert, D. D., Farrer, L., Forand, N. R., Strunk, D. R., … Cuijpers, P. (2021). Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: A systematic review and component network meta-analysis using individual participant data. Lancet Psychiatry, 8(6), 500–511. https://doi.org/10.1016/s2215-0366(21)00077-8

Furukawa, Y., Sakata, M., Yamamoto, R., Nakajima, S., Kikuchi, S., Inoue, M., Ito, M., Noma, H., Takashina, H. N., Funada, S., Ostinelli, E. G., Furukawa, T. A., Efthimiou, O., & Perlis, M. (2024). Components and Delivery Formats of Cognitive Behavioral Therapy for Chronic Insomnia in Adults: A Systematic Review and Component Network Meta-Analysis. JAMA Psychiatry, 81(4), 357–365. https://doi.org/10.1001/jamapsychiatry.2023.5060

Fusar-Poli, P., & Radua, J. (2018). Ten simple rules for conducting umbrella reviews. Evidence Based Mental Health, 21(3), 95–100. https://doi.org/10.1136/ebmental-2018-300014

Galatzer-Levy, I. R., & Bryant, R. A. (2013). 636,120 Ways to Have Posttraumatic Stress Disorder. Perspectives on Psychological Science: A Journal of the Association for Psychological Science, 8(6), 651–662. https://doi.org/10.1177/1745691613504115

Garge, N. R. , Bobashev, G., & Eggleston, B. (2013). Random forest methodology for model-based recursive partitioning: The mobForest package for R. BMC Bioinformatics, 14(1), 1–8.

GBD 2019 Mental Disorders Collaborators. (2022). Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet Psychiatry, 9(2), 137–150.

Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2021). Bayesian Data Analysis (3rd ed.). Boca Raton, FL: Chapmann & Hall/CRC Press. http://www.stat.columbia.edu/~gelman/book/

Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models (1st ed.). Cambridge, UK: Cambridge University Press. ISBN: 978-0-521-86706.

Genuer, R., Poggi, J.-M., & Tuleau-Malot, C. (2010). Variable selection using random forests. Pattern Recognition Letters, 31(14), 2225–2236. https://doi.org/10.1016/j.patrec.2010.03.014

Glynn, A. N., & Quinn, K. M. (2010). An introduction to the augmented inverse propensity weighted estimator. Political Analysis, 18(1), 36–56.

Goldberg, D. (2011). The heterogeneity of “major depression.” World Psychiatry, 10(3), 226.

Greenland, S. (2008). Bayesian interpretation and analysis of research results. Seminars in Hematology, 45(3), 141–149. https://doi.org/10.1053/j.seminhematol.2008.04.004

Griesbach, C., Groll, A., & Bergherr, E. (2021). Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques. PLOS ONE, 16(7), e0254178. doi.org/10.1371/journal.pone.0254178

Groll, A., & Tutz, G. (2014). Variable selection for generalized linear mixed models by L1-penalized estimation. Statistics and Computing, 24(2), 137–154. https://doi.org/10.1007/s11222-012-9359-z

Guyatt, G. H. , Sackett, D. L., Sinclair, J. C., Hayward, R., Cook, D. J., Cook, R. J., Bass, E., Gerstein, H., Haynes, B., Holbrook, A., Jaeschke, R., Laupacls, A., Moyer, V., & Wilson, M. (1995). Users’ Guides to the Medical Literature: IX. A Method for Grading Health Care Recommendations. JAMA, 274(22), 1800–1804. https://doi.org/10.1001/jama.1995.03530220066035

Haak, L. L. , Fenner, M., Paglione, L., Pentz, E., & Ratner, H. (2012). ORCID: a system to uniquely identify researchers. Learned Publishing, 25(4), 259–264.

Hacking, I. (1983). Representing and Intervening: Introductory Topics in the Philosophy of Natural Science. Cambridge, UK: Cambridge University Press. doi.org/10.1017/CBO9780511814563

Hacking, I. (1998). Mad Travelers: Reflections on the Reality of Transient Mental Illnesses. Cambridge, MA: Harvard University Press. ISBN 9780674009547.

Hanney, S. R. , Castle-Clarke, S., Grant, J., Guthrie, S., Henshall, C., Mestre-Ferrandiz, J., Pistollato, M., Pollitt, A., Sussex, J., & Wooding, S. (2015). How long does biomedical research take? Studying the time taken between biomedical and health research and its translation into products, policy, and practice. Health Research Policy and Systems, 13(1), 1. doi.org/10.1186/1478-4505-13-1

Hare, D. L. , Toukhsati, S. R., Johansson, P., & Jaarsma, T. (2014). Depression and cardiovascular disease: A clinical review. European Heart Journal, 35(21), 1365–1372.

Harmon-Jones, E., & Mills, J. (2019). An introduction to cognitive dissonance theory and an overview of current perspectives on the theory. In E. Harmon-Jones (Ed.), Cognitive dissonance: Reexamining a pivotal theory in psychology (2nd ed., pp. 3–24). American Psychological Association. https://doi.org/10.1037/0000135-001

Harrell Jr, F. E. , Lee, K. L., & Mark, D. B. (1996). Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Statistics in Medicine, 15(4), 361–387.

Harrer, M., Baumeister, H., Cuijpers, P., Heber, E., Lehr, D., Kessler, R. C., & Ebert, D. D. (2024). Predicting effects of a digital stress intervention for patients with depressive symptoms: Development and validation of meta-analytic prognostic models using individual participant data. Journal of Consulting and Clinical Psychology, 92(4), 226–235. doi.org/10.1037/ccp0000852

Harrer, M., Cuijpers, P., A, F. T., & Ebert, D. D. (2021). Doing Meta-Analysis With R: A Hands-On Guide (1st ed.). Boca Raton, FL: Chapman & Hall/CRC Press.

Harrer, M., Cuijpers, P., Schuurmans, L. K., Kaiser, T., Buntrock, C., van Straten, A., & Ebert, D. (2023). Evaluation of randomized controlled trials: A primer and tutorial for mental health researchers. Trials, 24(1), 562.

Harrer, M., Ebert, D. D., Kuper, P., Paganini, S., Schlicker, S., Terhorst, Y., Reuter, B., Sander, L. B., & Baumeister, H. (2023). Predicting heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain: Secondary analysis of two randomized controlled trials. Internet Interventions, 33, 100634. https://doi.org/10.1016/j.invent.2023.100634

Harrer, M., Kuper, P., Sprenger, A. A., & Cuijpers, P. (2022). metapsyTools: Several R Helper Functions For the “Metapsy” Database. tools.metapsy.org

Harrer, M., Miguel, C., Ballegooijen, W. van, Ciharova, M., Plessen, C. Y., Kuper, P., Sprenger, A. A., Buntrock, C., Papola, D., Cristea, I. A., Ponti, N. de, Basic, Đ., Pauley, D., Driessen, E., Quero, S., Grimaldos, J., Buendía, S. F., Botella, C., Hamblen, J. L., … Cuijpers, P. (2024). Supersizing Meta-Analysis of Psychological Interventions: Features and Findings of the “Metapsy” Meta-Analytic Research Domain. Psychological Bulletin (in press).

Harrer, M., Nixon, P., Sprenger, A. A., Heber, E., Boß, L., Heckendorf, H., Buntrock, C., Ebert, D. D., & Lehr, D. (2024). Are web-based stress management interventions effective as an indirect treatment for depression? An individual participant data meta-analysis of six randomised trials. BMJ Mental Health, 27(1). https://mentalhealth.bmj.com/content/27/1/e300846.abstract

Harrer, M., Sprenger, A. A., Cuijpers, P., Leucht, S., & Buntrock, C. (2023). Efficacy and Heterogeneous Treatment Effects of Preventive Interventions for Subthreshold Depression: An Individual Participant Data Meta-Analysis (Addendum to the Study Protocol & Statistical Analysis Plan). https://osf.io/a3w7j

Harrer, M., Sprenger, A. A., Kuper, P., Karyotaki, E., & Cuijpers, P. (2022). MetapsyData: MetapsyData: Access the Meta-Analytic Psychotherapy Databases in R. data.metapsy.org

Harrer, M., Terhorst, Y., Baumeister, H., & Ebert, D. D. (2023). Digitale Phänotypisierung und künstliche Intelligenz. In D. D. Ebert & H. Baumeister (Eds.), Digitale Gesundheitsinterventionen: Anwendungen in Therapie und Prävention (pp. 465–479). Berlin & Heidelberg: Springer. https://doi.org/10.1007/978-3-662-65816-1_27

Harris, B. (1979). Whatever happened to little Albert? American Psychologist, 34(2), 151–160. https://doi.org/10.1037/0003-066X.34.2.151

Hasan, A., Falkai, P., Lehmann, I., Janssen, B., Wobrock, T., Zielasek, J., & Gaebel, W. (2020). Revised S3 guidelines on schizophrenia: Developmental process and selected recommendations. Der Nervenarzt, 91, 26–33.

Haslbeck, J., Ryan, O., Robinaugh, D. J., Waldorp, L. J., & Borsboom, D. (2022). Modeling psychopathology: From data models to formal theories. Psychological Methods, 27(6), 930.

Hayes, S. C., & Hofmann, S. G. (2021). “Third-wave” cognitive and behavioral therapies and the emergence of a process-based approach to intervention in psychiatry. World Psychiatry, 20(3), 363–375. https://doi.org/10.1002/wps.20884

Heath, D., & Sudderth, W. (1976). De Finetti’s Theorem on Exchangeable Variables. The American Statistician, 30(4), 188–189. https://doi.org/10.1080/00031305.1976.10479175

Hedges, L. V., & Vevea, J. L. (1998). Fixed-and random-effects models in meta-analysis. Psychological Methods, 3(4), 486.

Heymans, M. W., van Buuren, S., Knol, D. L., van Mechelen, W., & de Vet, H. C. (2007). Variable selection under multiple imputation using the bootstrap in a prognostic study. BMC Medical Research Methodology, 7(1), 33. https://doi.org/10.1186/1471-2288-7-33

Higgins, J. P. T., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta‐analysis. Statistics in Medicine, 21(11), 1539–1558. https://doi.org/10.1002/sim.1186

Higgins, J. P. , Thompson, S. G., & Spiegelhalter, D. J. (2009). A re-evaluation of random-effects meta-analysis. Journal of the Royal Statistical Society Series A: Statistics in Society, 172(1), 137–159.

Huling, J. D., & Yu, M. (2018). Subgroup Identification Using the personalized Package. ArXiv: 1809.07905 [Stat]. http://arxiv.org/abs/1809.07905

Hull, C. L. (1929). Hypnotism in Scientific Perspective. The Scientific Monthly, 29(2), 154–162.

Hysenbegasi, A., Hass, S. L., & Rowland, C. R. (2005). The impact of depression on the academic productivity of university students. Journal of Mental Health Policy and Economics, 8(3), 145.

Imbens, G. W., & Rubin, D. B. (2015). Causal inference for statistics, social, and biomedical sciences (1st ed.). Cambridge, UK: Cambridge University Press.

Jack, S. J., & Ronan, K. R. (2008). Bibliotherapy: Practice and Research. School Psychology International, 29(2), 161–182. https://doi.org/10.1177/0143034308090058

Jackson, D., & White, I. R. (2018). When should meta‐analysis avoid making hidden normality assumptions? Biometrical Journal, 60(6), 1040–1058. https://doi.org/10.1002/bimj.201800071

Jacobson, N. S., & Truax, P. (1992). Clinical significance: A statistical approach to defining meaningful change in psychotherapy research. In Methodological issues & strategies in clinical research (pp. 631–648). American Psychological Association. https://doi.org/10.1037/10109-042

Jefferson, A. (2022). Are Mental Disorders Brain Disorders? (1st ed.) Abingdon-on-Thames, UK: Routledge. https://doi.org/10.4324/9780367822088

Johnsen, T. J., & Friborg, O. (2015). The effects of cognitive behavioral therapy as an anti-depressive treatment is falling: A meta-analysis. Psychological Bulletin, 141(4), 747.

Jorm, A. F. , Patten, S. B., Brugha, T. S., & Mojtabai, R. (2017). Has increased provision of treatment reduced the prevalence of common mental disorders? Review of the evidence from four countries. World Psychiatry, 16(1), 90–99.

Jost, L. (2007). Partitioning Diversity Into Independent Alpha and Beta Components. Ecology, 88(10), 2427–2439. https://doi.org/10.1890/06-1736.1

Kaiser, T., Volkmann, C., Volkmann, A., Karyotaki, E., Cuijpers, P., & Brakemeier, E.-L. (2022). Heterogeneity of treatment effects in trials on psychotherapy of depression. Clinical Psychology: Science and Practice, 29(3), 294.

Kamp, C. B. , Petersen, J. J., Faltermeier, P., Juul, S., Siddiqui, F., Barbateskovic, M., Kristensen, A. T., Moncrieff, J., Horowitz, M. A., Hengartner, M. P., Kirsch, I., Gluud, C., & Jakobsen, J. C. (2024). Beneficial and harmful effects of tricyclic antidepressants for adults with major depressive disorder: A systematic review with meta-analysis and trial sequential analysis. BMJ Mental Health, 27(1). https://doi.org/10.1136/bmjment-2023-300730

Karyotaki, E., Efthimiou, O., Miguel, C., Bermpohl, F. M. genannt, Furukawa, T. A., Cuijpers, P., & Individual Patient Data Meta-Analyses for Depression (IPDMA-DE) Collaboration. (2021). Internet-Based Cognitive Behavioral Therapy for Depression: A Systematic Review and Individual Patient Data Network Meta-analysis. JAMA Psychiatry, 78(4), 361–371. https://doi.org/ 10.1001/jamapsychiatry.2020.4364

Kathan, A., Harrer, M., Küster, L., Triantafyllopoulos, A., He, X., Milling, M., Gerczuk, M., Yan, T., Rajamani, S. T., Heber, E., Grossmann, I., Ebert, D. D., & Schuller, B. W. (2022). Personalised depression forecasting using mobile sensor data and ecological momentary assessment. Frontiers in Digital Health, 4. https://doi.org/10.3389/fdgth.2022.964582

Katzman, M. A. , Bleau, P., Blier, P., Chokka, P., Kjernisted, K., Van Ameringen, M., & the Canadian Anxiety Guidelines Initiative Group on behalf of the Anxiety Disorders Association of Canada/Association Canadienne des troubles anxieux and McGill University. (2014). Canadian clinical practice guidelines for the management of anxiety, posttraumatic stress and obsessive-compulsive disorders. BMC Psychiatry, 14(1), S1. https://doi.org/10.1186/1471-244X-14-S1-S1

Keepers, G. A. , Fochtmann, L. J., Anzia, J. M., Benjamin, S., Lyness, J. M., Mojtabai, R., Servis, M., Walaszek, A., Buckley, P., Lenzenweger, M. F., Young, A. S., Degenhardt, A., & Hong, S.-H. (2020). The American Psychiatric Association Practice Guideline for the Treatment of Patients with Schizophrenia. American Journal of Psychiatry, 177(9), 868–872. https://doi.org/ 10.1176/appi.ajp.2020.177901

Kent, D. M. , Paulus, J. K., Van Klaveren, D., D’Agostino, R., Goodman, S., Hayward, R., Ioannidis, J. P., Patrick-Lake, B., Morton, S., & Pencina, M. (2020). The predictive approaches to treatment effect heterogeneity (PATH) statement. Annals of Internal Medicine, 172(1), 35–45.

Kent, D. M. , Steyerberg, E., & van Klaveren, D. (2018). Personalized evidence based medicine: predictive approaches to heterogeneous treatment effects. BMJ, 363. doi:10.1136/bmj.k4245

Kent, D. M. , Van Klaveren, D., Paulus, J. K., D’Agostino, R., Goodman, S., Hayward, R., Ioannidis, J. P., Patrick-Lake, B., Morton, S., & Pencina, M. (2020). The Predictive Approaches to Treatment effect Heterogeneity (PATH) statement: Explanation and elaboration. Annals of Internal Medicine, 172(1), W1–W25.

Kessler, R. C. , Aguilar-Gaxiola, S., Alonso, J., Chatterji, S., Lee, S., Ormel, J., Ustün, T. B., & Wang, P. S. (2009). The global burden of mental disorders: An update from the WHO World Mental Health (WMH) surveys. Epidemiologia E Psichiatria Sociale, 18(1), 23–33. https://doi.org/ 10.1017/s1121189x00001421

Kessler, R. C. , Bossarte, R. M., Luedtke, A., Zaslavsky, A. M., & Zubizarreta, J. R. (2019). Machine learning methods for developing precision treatment rules with observational data. Behaviour Research and Therapy, 120, 103412.

Kessler, R. C. , Demler, O., Frank, R. G., Olfson, M., Pincus, H. A., Walters, E. E., Wang, P., Wells, K. B., & Zaslavsky, A. M. (2005). Prevalence and Treatment of Mental Disorders, 1990 to 2003. New England Journal of Medicine, 352(24), 2515–2523. https://doi.org/10.1056/NEJMsa043266

Kessler, R. C. , Foster, C. L., Saunders, W. B., & Stang, P. E. (1995). Social consequences of psychiatric disorders, I: Educational attain-ment. American Journal of Psychiatry, 152(7), 1026–1032.

Khan, A., Mar, K. F., & Brown, W. A. (2021). Consistently Modest Antidepressant Effects in Clinical Trials: The Role of Regulatory Requirements. Psychopharmacology Bulletin, 51(3), 79–108.

Kindi, V. (2012). Kuhn’s Paradigms. In Kuhn’s The Structure of Scientific Revolutions Revisited. Abingdon-on-Thamas, UK: Routledge.

Kirsch, I., Wampold, B., & Kelley, J. M. (2016). Controlling for the placebo effect in psychotherapy: Noble quest or tilting at windmills? Psychology of Consciousness: Theory, Research, and Practice, 3(2), 121.

Kirschenbaum, H., & Jourdan, A. (2005). The Current Status of Carl Rogers and the Person-Centered Approach. Psychotherapy: Theory, Research, Practice, Training, 42(1), 37–51. https://doi.org/ 10.1037/0033-3204.42.1.37

Kitcher, P. (2001). Science, Truth, and Democracy (1st ed.). Oxford, UK: Oxford University Press. ISBN 9780195165524

Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., Brown, T. A., Carpenter, W. T., Caspi, A., & Clark, L. A. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 126(4), 454.

Kowitz, S., Zielasek, J., & Gaebel, W. (2014). Die Versorgungssituation bei psychischen Störungen in Deutschland. DMW - Deutsche Medizinische Wochenschrift, 139(23), 1249–1252. https://doi.org/10.1055/s-0034-1370039

Krueger, R. F., & Bezdjian, S. (2009). Enhancing research and treatment of mental disorders with dimensional concepts: Toward DSM-V and ICD-11. World Psychiatry, 8(1), 3.

Lehman, E. L. (2011). The Design of Experiments and Sample Surveys. In Fisher, Neyman, and the Creation of Classical Statistics (1st ed.). New York, NY: Springer.

Lelong, S., Zhou, X., Afrasiabi, C., Qian, Z., Cano, M. A., Tsueng, G., Xin, J., Mullen, J., Yao, Y., Avila, R., Taylor, G., Su, A. I., & Wu, C. (2022). BioThings SDK: A toolkit for building high-performance data APIs in biomedical research. Bioinformatics, 38(7), 2077–2079. https://doi.org/10.1093/bioinformatics/btac017

Leucht, S., Cipriani, A., Spineli, L., Mavridis, D., Örey, D., Richter, F., Samara, M., Barbui, C., Engel, R. R., & Geddes, J. R. (2013). Com-parative efficacy and tolerability of 15 antipsychotic drugs in schizophrenia: A multiple-treatments meta-analysis. The Lancet, 382(9896), 951–962.

Levin, M. E. , MacLane, C., Daflos, S., Seeley, J. R., Hayes, S. C., Biglan, A., & Pistorello, J. (2014). Examining psychological inflexibility as a transdiagnostic process across psychological disorders. Journal of Contextual Behavioral Science, 3(3), 155–163.

Levy, J., Van Der Laan, M., Hubbard, A., & Pirracchio, R. (2021). A fundamental measure of treatment effect heterogeneity. Journal of Causal Inference, 9(1), 83–108. https://doi.org/10.1515/jci-2019-0003

Lewinsohn, P. M., & Clarke, G. N. (1984). Group treatment of depressed individuals: The ‘coping with depression’course. Advances in Behaviour Research and Therapy, 6(2), 99–114.

Lewis, D. (1994). Humean Supervenience Debugged. Mind, 103(412), 473–490.

Li, F., Morgan, K. L., & Zaslavsky, A. M. (2018). Balancing Covariates via Propensity Score Weighting. Journal of the American Statistical Association, 113(521), 390–400. https://doi.org/10.1080/ 01621459.2016.1260466

Lilienfeld, S. O. (2007). Psychological treatments that cause harm. Perspectives on Psychological Science, 2(1), 53–70.

Lilienfeld, S. O. (2010). Can psychology become a science? Personality and Individual Differences, 49(4), 281–288. https://doi.org/10.1016/j.paid.2010.01.024

Lindley, D. V. (2000). The Philosophy of Statistics. Journal of the Royal Statistical Society Series D: The Statistician, 49(3), 293–337. https://doi.org/10.1111/1467-9884.00238

Liu, F., Qiao, W., Yuan, X., Hei, G., Li, X., Zhang, Y., Song, X., & Zhang, D. (2024). Psychosocial and psychological interventions for schizophrenia relapse prevention: A bibliometric analysis. Cambridge Prisms: Global Mental Health, 11, e49. https://doi.org/10.1017/gmh.2024.49

Liu, Z., Al Amer, F. M., Xiao, M., Xu, C., Furuya-Kanamori, L., Hong, H., Siegel, L., & Lin, L. (2023). The normality assumption on between-study random effects was questionable in a considerable number of Cochrane meta-analyses. BMC Medicine, 21(1), 112. https://doi.org/10.1186/s12916-023-02823-9

Ljótsson, B., Hedman, E., Mattsson, S., & Andersson, E. (2017). The effects of cognitive–behavioral therapy for depression are not falling: A re-analysis of Johnsen and Friborg (2015). Psychological Bulletin, 143(3), 321–325. https://doi.org/10.1037/bul0000055

Lobel, B., & Hirschfield, R. M. A. (1984). Depression: What We Know. National Institute of Mental Health. https://catalog.hathitrust.org/Record/100073347

Lopez, C. A. (1993). Franklin and Mesmer: An encounter. The Yale Journal of Biology and Medicine, 66(4), 325–331.

López-Muñoz, F., Alamo, C., Rubio, G., García-García, P., Martín-Agueda, B., & Cuenca, E. (2003). Bibliometric analysis of biomedical publications on SSRI during 1980–2000. Depression and Anxiety, 18(2), 95–103. https://doi.org/10.1002/da.10121

Luborsky, L., Rosenthal, R., Diguer, L., Andrusyna, T. P., Berman, J. S., Levitt, J. T., Seligman, D. A., & Krause, E. D. (2002). The dodo bird verdict is alive and well–mostly. Clinical Psychology: Science and Practice, 9(1), Spr 2002, 2-12. https://psycnet.apa.org/journals/cps/9/1/2/

Maatman, F. O. (2021). Psychology’s theory crisis, and why formal modelling cannot solve it. https://psyarxiv.com/puqvs/download?format=pdf

Magnusson, K., Andersson, G., & Carlbring, P. (2018). The consequences of ignoring therapist effects in trials with longitudinal data: A simulation study. Journal of Consulting and Clinical Psychology, 86(9), 711–725. https://doi.org/10.1037/ccp0000333

Maiers, W. (2022). Replication Crisis – Just Another Instance of the Replication of Crises in Psychology? Historical Retrospections and Theoretical-Psychological Assessments. Review of General Psychology, 26(2), 250–260. https://doi.org/10.1177/10892680211033915

Mathur, M. B., & VanderWeele, T. J. (2019). New metrics for meta‐analyses of heterogeneous effects. Statistics in Medicine, 38(8), 1336–1342. https://doi.org/10.1002/sim.8057

Maxwell, S. E. , Lau, M. Y., & Howard, G. S. (2015). Is psychology suffering from a replication crisis? What does “failure to replicate” really mean? American Psychologist, 70(6), 487.

Mayo, D. G. (2021). Significance Tests: Vitiated or Vindicated by the Replication Crisis in Psychology? Review of Philosophy and Psychology, 12(1), 101–120. https://doi.org/10.1007/s13164-020-00501-w

McCutcheon, R. A. , Pillinger, T., Efthimiou, O., Maslej, M., Mulsant, B. H., Young, A. H., Cipriani, A., & Howes, O. D. (2022). Reappraising the variability of effects of antipsychotic medication in schizophrenia: A meta‐analysis. World Psychiatry, 21(2), 287–294. https://doi.org/10.1002/ wps.20977

McDowell, J. (2009). Wittgensteinian “Quietism.” Common Knowledge, 15(3), 365–372. https:// doi.org/10.1215/0961754X-2009-018

McLaughlin, B., & Bennett, K. (2023). Supervenience. In E. N. Zalta & U. Nodelman (Eds.), The Stanford Encyclopedia of Philosophy (Winter 2023). Metaphysics Research Lab, Stanford University. https://plato.stanford.edu/archives/win2023/entries/supervenience/

McLennan, J. D., & Braunberger, P. (2018). Caution Is Needed When Adding Etiology to Mental Disorder Criteria: The Case of Neurobehavioral Disorder Associated With Prenatal Alcohol Exposure. Journal of the American Academy of Child and Adolescent Psychiatry, 57(11), 818–819.

Meehl, P. E. (1978). Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology. Journal of Consulting and Clinical Psychology, 46(4), 806–834. https://doi.org/10.1037/0022-006X.46.4.806

Mendes, D. D. , Mello, M. F., Ventura, P., de Medeiros Passarela, C., & de Jesus Mari, J. (2008). A systematic review on the effectiveness of cognitive behavioral therapy for posttraumatic stress disorder. The International Journal of Psychiatry in Medicine, 38(3), 241–259.

Michopoulos, I., Furukawa, T. A., Noma, H., Kishimoto, S., Onishi, A., Ostinelli, E. G., Ciharova, M., Miguel, C., Karyotaki, E., & Cuijpers, P. (2021). Different control conditions can produce different effect estimates in psychotherapy trials for depression. Journal of Clinical Epidemiology, 132, 59–70.

Miklowitz, D. J. , Efthimiou, O., Furukawa, T. A., Scott, J., McLaren, R., Geddes, J. R., & Cipriani, A. (2021). Adjunctive Psychotherapy for Bipolar Disorder: A Systematic Review and Component Network Meta-analysis. JAMA Psychiatry, 78(2), 141–150. https://doi.org/10.1001/jamapsychiatry.2020.2993

Miles, A. (2016). Obtaining Predictions from Models Fit to Multiply Imputed Data. Sociological Methods & Research, 45(1), 175–185. https://doi.org/10.1177/0049124115610345

Mohr, D. C. , Zhang, M., & Schueller, S. M. (2017). Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning. Annual Review of Clinical Psychology, 13(1), 23–47. https://doi.org/10.1146/annurev-clinpsy-032816-044949

Moncrieff, J., Cooper, R. E., Stockmann, T., Amendola, S., Hengartner, M. P., & Horowitz, M. A. (2023). The serotonin theory of depression: A systematic umbrella review of the evidence. Molecular Psychiatry, 28(8), 3243–3256. https://doi.org/10.1038/s41380-022-01661-0

Montag, C., Baumeister, H., Kannen, C., Sariyska, R., Meßner, E.-M., & Brand, M. (2019). Concept, possibilities and pilot-testing of a new smartphone application for the social and life sciences to study human behavior including validation data from personality psychology. J, 2(2), 102–115.

Montoya, L. M. , Laan, M. J. van der, Skeem, J. L., & Petersen, M. L. (2023). Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions. The International Journal of Biostatistics, 19(1), 239–259. https://doi.org/10.1515/ijb-2020-0128

Montoya, L. M., van der Laan, M. J., Luedtke, A. R., Skeem, J. L., Coyle, J. R., & Petersen, M. L. (2022). The optimal dynamic treatment rule superlearner: Considerations, performance, and application to criminal justice interventions. The International Journal of Biostatistics. https://doi.org/10.1515/ijb-2020-0127

Morris, Z. S. , Wooding, S., & Grant, J. (2011). The answer is 17 years, what is the question: Understanding time lags in translational research. Journal of the Royal Society of Medicine, 104(12), 510–520. https://doi.org/10.1258/jrsm.2011.110180

Moshe, I., Terhorst, Y., Philippi, P., Domhardt, M., Cuijpers, P., Cristea, I., & Sander, L. B. (2021). Digital interventions for the treatment of depression: A meta-analytic review. Psychological Bulletin, 147(8), 749.

Munder, T., Brütsch, O., Leonhart, R., Gerger, H., & Barth, J. (2013). Researcher allegiance in psychotherapy outcome research: An overview of reviews. Clinical Psychology Review, 33(4), 501–511.

Murphy, S. A. (2003). Optimal dynamic treatment regimes. Journal of the Royal Statistical Society Series B: Statistical Methodology, 65(2), 331–355.

Muthukrishna, M., & Henrich, J. (2019). A problem in theory. Nature Human Behaviour, 3(3), 3. https://doi.org/10.1038/s41562-018-0522-1

Naimi, A. I., & Balzer, L. B. (2018). Stacked generalization: An introduction to super learning. European Journal of Epidemiology, 33(5), 459–464. https://doi.org/10.1007/s10654-018-0390-z

Nandi, A., Beard, J. R., & Galea, S. (2009). Epidemiologic heterogeneity of common mood and anxiety disorders over the lifecourse in the general population: A systematic review. BMC Psychiatry, 9(1), 31. https://doi.org/10.1186/1471-244X-9-31

Ndetei, D. M. , Mutiso, V., & Osborn, T. (2023). Moving away from the scarcity fallacy: Three strategies to reduce the mental health treatment gap in LMICs. World Psychiatry, 22(1), 163–164. https://doi.org/10.1002/wps.21054

Niederkrotenthaler, T., Tinghög, P., Alexanderson, K., Dahlin, M., Wang, M., Beckman, K., Gould, M., & Mittendorfer-Rutz, E. (2014). Future risk of labour market marginalization in young suicide attempters—A population-based prospective cohort study. International Journal of Epidemiology, 43(5), 1520–1530.

Niederkrotenthaler, T., Tinghög, P., Goldman-Mellor, S., Wilcox, H. C., Gould, M., & Mittendorfer-Rutz, E. (2016). Medical and social determinants of subsequent labour market marginalization in young hospitalized suicide attempters. PloS One, 11(1), e0146130.

Nock, M. K. , Hwang, I., Sampson, N., Kessler, R. C., Angermeyer, M., Beautrais, A., Borges, G., Bromet, E., Bruffaerts, R., & De Girolamo, G. (2009). Cross-national analysis of the associations among mental disorders and suicidal behavior: Findings from the WHO World Mental Health Surveys. PLoS Medicine, 6(8), e1000123.

Noma, H., Nagashima, K., Kato, S., Teramukai, S., & Furukawa, T. A. (2022). Meta-analysis using flexible random-effects distribution models. Journal of Epidemiology, 32(10), 441–448.

Nunes, A., Trappenberg, T., & Alda, M. (2020a). The definition and measurement of heterogeneity. Translational Psychiatry, 10(1), 299.

Nunes, A., Trappenberg, T., & Alda, M. (2020b). We need an operational framework for heterogeneity in psychiatric research. Journal of Psychiatry & Neuroscience: JPN, 45(1), 3.

Oberauer, K., & Lewandowsky, S. (2019). Addressing the theory crisis in psychology. Psychonomic Bulletin & Review, 26(5), 1596–1618. https://doi.org/10.3758/s13423-019-01645-2

Olatunji, B. O. , Davis, M. L., Powers, M. B., & Smits, J. A. (2013). Cognitive-behavioral therapy for obsessive-compulsive disorder: A meta-analysis of treatment outcome and moderators. Journal of Psychiatric Research, 47(1), 33–41.

Olbert, C. M. , Gala, G. J., & Tupler, L. A. (2014). Quantifying heterogeneity attributable to polythetic diagnostic criteria: Theoretical framework and empirical application. Journal of Abnormal Psychology, 123(2), 452.

Ormel, J., Cuijpers, P., Jorm, A., & Schoevers, R. A. (2020). What is needed to eradicate the depression epidemic, and why. Mental Health & Prevention, 17, 200177. https://doi.org/10.1016/ j.mhp.2019.200177

Ormel, J., & Emmelkamp, P. M. G. (2023). More Treatment, but Not Less Anxiety and Mood Disorders: Why? Seven Hypotheses and Their Evaluation. Psychotherapy and Psychosomatics, 92(2), 73–80. https://doi.org/10.1159/000528544

Ormel, J., Hollon, S. D., Kessler, R. C., Cuijpers, P., & Monroe, S. M. (2022). More treatment but no less depression: The treatment-prevalence paradox. Clinical Psychology Review, 91, 102111.

Ormel, J., Kessler, R. C., & Schoevers, R. (2019). Depression: more treatment but no drop in prevalence: how effective is treatment? And can we do better? Current opinion in psychiatry, 32(4), 348-354.

Papola, D., Miguel, C., Mazzaglia, M., Franco, P., Tedeschi, F., Romero, S. A., Patel, A. R., Ostuzzi, G., Gastaldon, C., & Karyotaki, E. (2023). Psychotherapies for generalized anxiety disorder in adults: A systematic review and network meta-analysis of randomized clinical trials. JAMA Psychiatry.

Pastor, D. A., & Lazowski, R. A. (2018). On the Multilevel Nature of Meta-Analysis: A Tutorial, Comparison of Software Programs, and Discussion of Analytic Choices. Multivariate Behavioral Research, 53(1), 74–89. https://doi.org/10.1080/00273171.2017.1365684

Pearl, J. (2009). Causal inference in statistics: An overview. Statistics Surveys, 3: 96-146 (2009). 10.1214/09-SS057

Perry, C. (1978). The Abbé Faria: A Neglected Figure in the History of Hypnosis. In F. H. Frankel & H. S. Zamansky (Eds.), Hypnosis at its Bicentennial: Selected Papers (pp. 37–45). New York, NY: Springer. https://doi.org/10.1007/978-1-4613-2859-9_3

Phillips, R. V., van der Laan, M. J., Lee, H., & Gruber, S. (2023). Practical considerations for specifying a super learner. International Journal of Epidemiology, 52(4). doi.org/10.1093/ije/dyad023

Plöderl, M., & Hengartner, M. P. (2019). What are the chances for personalised treatment with antidepressants? Detection of patient-by-treatment interaction with a variance ratio meta-analysis. BMJ Open, 9(12), e034816. https://doi.org/10.1136/bmjopen-2019-034816

Polley, E. C. , Rose, S., & van der Laan, M. J. (2011). Super Learning. In M. J. van der Laan & S. Rose (Eds.), Targeted Learning: Causal Inference for Observational and Experimental Data (pp. 43–66). New York, NY: Springer. https://doi.org/10.1007/978-1-4419-9782-1_3

Pompoli, A., Furukawa, T. A., Efthimiou, O., Imai, H., Tajika, A., & Salanti, G. (2018). Dismantling cognitive-behaviour therapy for panic disorder: A systematic review and component network meta-analysis. Psychological Medicine, 48(12), 1945–1953. doi.org/10.1017/S0033291717 003919

Posit. (2023). shiny-server: Host Shiny applications over the web. https://github.com/rstudio/shiny-server/tree/c45ee5db559918973c5aa58211ca4a3b248cf900

Proulx, T., & Morey, R. D. (2021). Beyond Statistical Ritual: Theory in Psychological Science. Perspectives on Psychological Science, 16(4), 671–681. doi.org/10.1177/17456916211017098

Pytell, T. E. (2001). Viktor Frankl and the Genesis of the Third Viennese School of Psychotherapy. The Psychoanalytic Review, 88(2), 311–334. https://doi.org/10.1521/prev.88.2.311.17672

Ramsey, F. P. (1926). Truth and Probability. In H. Arló-Costa, V. F. Hendricks, & J. Van Benthem (Eds.), Readings in Formal Epistemology: Sourcebook. New York, NY: Springer International Publishing. https://doi.org/10.1007/978-3-319-20451-2

Rathod, S., Pinninti, N., Irfan, M., Gorczynski, P., Rathod, P., Gega, L., & Naeem, F. (2017). Mental health service provision in low-and middle-income countries. Health Services Insights, 10, 1178632917694350.

Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (1st ed.). Thousand Oaks, CA: Sage. ISBN 9780761919049.

Reeves, C. (1982). Breuer, Freud and the case of Anna O: A re-examination. Journal of Child Psychotherapy. https://doi.org/10.1080/00754178208256768

Regier, D. A. (2007). Dimensional approaches to psychiatric classification: Refining the research agenda for DSM-V: an introduction. International Journal of Methods in Psychiatric Research, 16(S1), S1–S5. https://doi.org/10.1002/mpr.209

Richter, D., Wall, A., Bruen, A., & Whittington, R. (2019). Is the global prevalence rate of adult mental illness increasing? Systematic review and meta‐analysis. Acta Psychiatrica Scandinavica, 140(5), 393–407.

Rigabert, A., Motrico, E., Moreno-Peral, P., Resurrección, D. M., Conejo-Ceron, S., Cuijpers, P., Martín-Gómez, C., López-Del-Hoyo, Y., & Bellón, J. Á. (2020). Effectiveness of online psychological and psychoeducational interventions to prevent depression: Systematic review and meta-analysis of randomized controlled trials. Clinical Psychology Review, 82, 101931.

Riley, R. D. , Snell, K. I. E., Ensor, J., Burke, D. L., Harrell Jr, F. E., Moons, K. G. M., & Collins, G. S. (2019). Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes. Statistics in Medicine, 38(7), 1262–1275. https://doi.org/10.1002/sim.7993

Riley, R. D. , Stewart, L. A., & Tierney, J. F. (2021). Individual Participant Data Meta-Analysis for Healthcare Research. In Individual Participant Data Meta-Analysis. Chichester, UK: John Wiley & Sons. https://doi.org/10.1002/9781119333784.ch1

Robinaugh, D. J. , Haslbeck, J. M. B., Ryan, O., Fried, E. I., & Waldorp, L. J. (2021). Invisible Hands and Fine Calipers: A Call to Use Formal Theory as a Toolkit for Theory Construction. Perspectives on Psychological Science, 16(4), 725–743. https://doi.org/10.1177/1745691620974697

Robins, J.M. (2004). Optimal Structural Nested Models for Optimal Sequential Decisions. In: Lin, D.Y., Heagerty, P.J. (eds) Proceedings of the Second Seattle Symposium in Biostatistics. Lecture Notes in Statistics, 179. New York, NY: Springer. https://doi.org/10.1007/978-1-4419-9076-1_11

Rogers, C. R. (1942). The use of electrically recorded interviews in improving psychotherapeutic techniques. American Journal of Orthopsychiatry, 12(3), 429–434. https://doi.org/10.1111/j.1939-0025.1942.tb05930.x

Rorty, R. (2007). Naturalism and quietism. In Philosophy as Cultural Politics: Philosophical Papers (4th ed., pp. 147–159). Cambridge, UK: Cambridge University Press. https://doi.org/10.1017/ CBO9780511812835.011

Rosenblum, L. (1969). Telephone therapy. Psychotherapy: Theory, Research & Practice, 6(4), 241–242. https://doi.org/10.1037/h0088762

Rosenthal, D., & Frank, J. D. (1956). Psychotherapy and the placebo effect. Psychological Bulletin, 53(4), 294.

Rosenzweig, S. (1936). Some implicit common factors in diverse methods of psychotherapy. American Journal of Orthopsychiatry, 6(3), 412.

Rosner, R. I. (2014). The “Splendid Isolation” of Aaron T. Beck. Isis, 105(4), 734–758. https://doi.org/ 10.1086/679421

Rowland, S. P. , Fitzgerald, J. E., Holme, T., Powell, J., & McGregor, A. (2020). What is the clinical value of mHealth for patients? NPJ Digital Medicine, 3(1), 4.

Rubin, D. B. (1974). Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology, 66(5), 688–701. https://doi.org/10.1037/h0037350

Sander, L. B. , Paganini, S., Terhorst, Y., Schlicker, S., Lin, J., Spanhel, K., Buntrock, C., Ebert, D. D., & Baumeister, H. (2020). Effectiveness of a guided web-based self-help intervention to prevent depression in patients with persistent back pain: The PROD-BP Randomized clinical trial. JAMA Psychiatry, 77(10), 1001–1011.

Savage, L. J. (1972). The Foundations of Statistics (2nd ed.). Mineola, NY: Dover. ISBN 9780486623498.

Schervish, M. J. (1995). Probability Models. In M. J. Schervish (Ed.), Theory of Statistics. New York, NY: Springer. https://doi.org/10.1007/978-1-4612-4250-5_1

Schlicker, S., Baumeister, H., Buntrock, C., Sander, L., Paganini, S., Lin, J., Berking, M., Lehr, D., & Ebert, D. D. (2020). A web-and mobile-based intervention for comorbid, recurrent depression in patients with chronic back pain on sick leave (Get. Back): Pilot randomized controlled trial on feasibility, user satisfaction, and effectiveness. JMIR Mental Health, 7(4), e16398.

Schneider, R. L. , Arch, J. J., & Wolitzky-Taylor, K. B. (2015). The state of personalized treatment for anxiety disorders: A systematic review of treatment moderators. Clinical Psychology Review, 38, 39–54. https://doi.org/10.1016/j.cpr.2015.02.004

Schomaker, M., & Heumann, C. (2018). Bootstrap inference when using multiple imputation. Statistics in Medicine, 37(14), 2252–2266. https://doi.org/10.1002/sim.7654

Schott, H. (2005). Medizingeschichte(n): Mesmerismus. Deutsches Ärzteblatt, 102(7), 427.

Senn, S. (2023). Dicing with Death: Living By Data (2nd ed.). Cambridge: Cambridge University Press.

Seo, M., White, I. R., Furukawa, T. A., Imai, H., Valgimigli, M., Egger, M., Zwahlen, M., & Efthimiou, O. (2021). Comparing methods for estimating patient-specific treatment effects in individual patient data meta-analysis. Statistics in Medicine, 40(6), 1553–1573. https://doi.org/ 10.1002/sim.8859

Severance, C. (2012). Discovering JavaScript Object Notation. Computer, 45(4), 6–8. Computer. https://doi.org/10.1109/MC.2012.132

Sextl-Plötz, T., Steinhoff, M., Baumeister, H., Cuijpers, P., Ebert, D. D., & Zarski, A.-C. (2024). A systematic review of predictors and moderators of treatment outcomes in internet- and mobile-based interventions for depression. Internet Interventions, 100760. https://doi.org/10.1016/ j.invent.2024.100760

Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379–423. The Bell System Technical Journal. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x

Simmons, J. P. , Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22(11), 1359–1366.

Sprenger, A. A. , Harrer, M., Kuper, P., Fried, E. I., Karyotaki, E., Buntrock, C., Apfelbacher, C., & Cuijpers, P. (2024). Outcome Measurement in Depression Psychotherapy Trials: A Historical and Meta-Analytic Review. In Preparation.

Steel, Z., Marnane, C., Iranpour, C., Chey, T., Jackson, J. W., Patel, V., & Silove, D. (2014). The global prevalence of common mental disorders: A systematic review and meta-analysis 1980–2013. International Journal of Epidemiology, 43(2), 476–493.

Steffen, A., Thom, J., Jacobi, F., Holstiege, J., & Bätzing, J. (2020). Trends in prevalence of depression in Germany between 2009 and 2017 based on nationwide ambulatory claims data. Journal of Affective Disorders, 271, 239–247.

Steinhausen, H. (2009). The heterogeneity of causes and courses of attention‐deficit/hyperactivity disorder. Acta Psychiatrica Scandinavica, 120(5), 392–399. https://doi.org/10.1111/j.1600-0447.2009.01446.x

Steyerberg, E. W. (2019). Evaluation of Clinical Usefulness. In E. W. Steyerberg (Ed.), Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating (pp. 309–328). New York, NY: Springer International Publishing. https://doi.org/10.1007/978-3-030-16399-0_16

Stigler, S. M. (1973). Studies in the History of Probability and Statistics. XXXII: Laplace, Fisher, and the discovery of the concept of sufficiency. Biometrika, 60(3), 439–445. https://doi.org/10.1093/ biomet/60.3.439

Stiles, W. B. , Shapiro, D. A., & Elliott, R. (1986). Are all psychotherapies equivalent? American Psychologist, 41(2), 165.

Strupp, H. H., & Howard, K. I. (1992). A brief history of psychotherapy research. In History of psychotherapy: A century of change (pp. 309–334). American Psychological Association. https://doi.org/10.1037/10110-008

Swaminathan, R., Huang, Y., Moosavinasab, S., Buckley, R., Bartlett, C. W., & Lin, S. M. (2016). A Review on Genomics APIs. Computational and Structural Biotechnology Journal, 14, 8–15. https://doi.org/10.1016/j.csbj.2015.10.004

Tackett, J. L. , Brandes, C. M., King, K. M., & Markon, K. E. (2019). Psychology’s Replication Crisis and Clinical Psychological Science. Annual Review of Clinical Psychology, 15, 579–604. https://doi.org/10.1146/annurev-clinpsy-050718-095710

Taylor, S., Jaques, N., Nosakhare, E., Sano, A., & Picard, R. (2020). Personalized Multitask Learning for Predicting Tomorrow’s Mood, Stress, and Health. IEEE Transactions on Affective Computing, 11(2), 200–213. IEEE Transactions on Affective Computing. https://doi.org/10.1109/TAFFC. 2017.2784832

Terhorst, Y., Kaiser, T., Brakemeier, E.-L., Moshe, I., Philippi, P., Cuijpers, P., Baumeister, H., & Sander, L. B. (2024). Heterogeneity of Treatment Effects in Internet- and Mobile-Based Interventions for Depression: A Systematic Review and Meta-Analysis. JAMA Network Open, 7(7), e2423241. https://doi.org/10.1001/jamanetworkopen.2024.23241

TeX Users Group. (2023). TeX Live. https://web.achive.org/web/20230924182623/ https://tug.org/texlive/

Thornicroft, G., Chatterji, S., Evans-Lacko, S., Gruber, M., Sampson, N., Aguilar-Gaxiola, S., Al-Hamzawi, A., Alonso, J., Andrade, L., Borges, G., Bruffaerts, R., Bunting, B., Almeida, J. M. C. de, Florescu, S., Girolamo, G. de, Gureje, O., Haro, J. M., He, Y., Hinkov, H., … Kessler, R. C. (2017). Undertreatment of people with major depressive disorder in 21 countries. The British Journal of Psychiatry, 210(2), 119–124. https://doi.org/10.1192/bjp.bp.116.188078

Torous, J., Wisniewski, H., Bird, B., Carpenter, E., David, G., Elejalde, E., Fulford, D., Guimond, S., Hays, R., Henson, P., Hoffman, L., Lim, C., Menon, M., Noel, V., Pearson, J., Peterson, R., Susheela, A., Troy, H., Vaidyam, A., … Keshavan, M. (2019). Creating a Digital Health Smartphone App and Digital Phenotyping Platform for Mental Health and Diverse Healthcare Needs: An Interdisciplinary and Collaborative Approach. Journal of Technology in Behavioral Science, 4(2), 73–85. https://doi.org/10.1007/s41347-019-00095-w

Van De Leemput, I. A. , Wichers, M., Cramer, A. O. J., Borsboom, D., Tuerlinckx, F., Kuppens, P., Van Nes, E. H., Viechtbauer, W., Giltay, E. J., Aggen, S. H., Derom, C., Jacobs, N., Kendler, K. S., Van Der Maas, H. L. J., Neale, M. C., Peeters, F., Thiery, E., Zachar, P., & Scheffer, M. (2014). Critical slowing down as early warning for the onset and termination of depression. Proceedings of the National Academy of Sciences, 111(1), 87–92. https://doi.org/10.1073/ pnas.1312114110

Van der Laan, M. J., Polley, E. C., & Hubbard, A. E. (2007). Super learner. Statistical Applications in Genetics and Molecular Biology, 6(1).

Van Der Laan, M. J., & Rubin, D. (2006). Targeted maximum likelihood learning. The International Journal of Biostatistics, 2(1).

van Ginkel, J. R. (2019). Significance Tests and Estimates for R2 for Multiple Regression in Multiply Imputed Datasets: A Cautionary Note on Earlier Findings, and Alternative Solutions. Multivariate Behavioral Research, 54(4), 514–529. https://doi.org/10.1080/00273171.2018.1540967

Vegetabile, B. G. (2021). On the Distinction Between “Conditional Average Treatment Effects” (CATE) and “Individual Treatment Effects” (ITE) Under Ignorability Assumptions. ArXiv:2108.04939 [Cs, Stat]. http://arxiv.org/abs/2108.04939

Vickers, A. J. , Kattan, M. W., & Sargent, D. J. (2007). Method for evaluating prediction models that apply the results of randomized trials to individual patients. Trials, 8(1), 14. https://doi.org/ 10.1186/1745-6215-8-14

Vigo, D., Thornicroft, G., & Atun, R. (2016). Estimating the true global burden of mental illness. The Lancet Psychiatry, 3(2), 171–178.

Wagner-Moore, L. E. (2004). Gestalt Therapy: Past, Present, Theory, and Research. Psychotherapy: Theory, Research, Practice, Training, 41(2), 180–189. https://doi.org/10.1037/0033-3204.41.2.180

Wakefield, J. C. (2014). Wittgenstein’s nightmare: Why the RDoC grid needs a conceptual dimension. World Psychiatry, 13(1), 38–40. https://doi.org/10.1002/wps.20097

Waller, J. (2009). A forgotten plague: Making sense of dancing mania. The Lancet, 373(9664), 624–625. https://doi.org/10.1016/S0140-6736(09)60386-X

Waller, J. C. (2008). In a spin: The mysterious dancing epidemic of 1518. Endeavour, 32(3), 117–121. https://doi.org/10.1016/j.endeavour.2008.05.001

Walters, K., Rait, G., Griffin, M., Buszewicz, M., & Nazareth, I. (2012). Recent trends in the incidence of anxiety diagnoses and symptoms in primary care. PloS One, 7(8): e41670. https://doi.org/10.1371/journal.pone.0041670

Wampold, B. E. (2001). Contextualizing psychotherapy as a healing practice: Culture, history, and methods. Applied and Preventive Psychology, 10(2), 69–86.

Wampold, B. E., & Imel, Z. E. (2015). The Great Psychotherapy Debate: Evidence For What Makes Psychotherapy Work (2nd ed.). Abingdon-on-Thames: Routledge.

Wampold, B. E. , Mondin, G. W., Moody, M., Stich, F., Benson, K., & Ahn, H. (1997). A meta-analysis of outcome studies comparing bona fide psychotherapies: Empiricially," all must have prizes.". Psychological Bulletin, 122(3), 203.

Wampold, B. E., & Owen, J. (2021). Therapist effects: History, methods, magnitude, and characteristics of effective therapists. In Bergin and Garfield’s handbook of psychotherapy and behavior change: 50th anniversary edition, 7th ed (pp. 297–326). John Wiley & Sons, Inc.

Wang, N., Kong, J.-Q., Bai, N., Zhang, H.-Y., & Yin, M. (2024). Psychological interventions for depression in children and adolescents: A bibliometric analysis. World Journal of Psychiatry, 14(3), 467–483. https://doi.org/10.5498/wjp.v14.i3.467

Wang, Y.-H., Li, J.-Q., Shi, J.-F., Que, J.-Y., Liu, J.-J., Lappin, J. M., Leung, J., Ravindran, A. V., Chen, W.-Q., Qiao, Y.-L., Shi, J., Lu, L., & Bao, Y.-P. (2020). Depression and anxiety in relation to cancer incidence and mortality: A systematic review and meta-analysis of cohort studies. Molecular Psychiatry, 25(7), 7. https://doi.org/10.1038/s41380-019-0595-x

Whooley, O. (2010). Diagnostic ambivalence: Psychiatric workarounds and the Diagnostic and Statistical Manual of Mental Disorders. Sociology of Health & Illness, 32(3), 452–469. https://doi.org/10.1111/j.1467-9566.2010.01230.x

Wickham, H. (2014). Tidy Data. Journal of Statistical Software, 59, 1–23. https://doi.org/10.18637/ jss.v059.i10

Wickham, H. (2023). The tidyverse style guide. https://web.archive.org/web/20230801021422/ https://style.tidyverse.org/

Wickham, H., Çetinkaya-Rundel, M., & Grolemund, G. (2023). The pipe (chap. 4.4). In R for data science. O’Reilly. https://r4ds.hadley.nz/data-transform.html#sec-the-pipe

Wilkinson, M. D. , Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., & Bourne, P. E. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1), 1–9.

Windholz, G. (1997). Ivan P. Pavlov: An overview of his life and psychological work. American Psychologist, 52(9), 941–946. https://doi.org/10.1037/0003-066X.52.9.941

Winkelbeiner, S., Leucht, S., Kane, J. M., & Homan, P. (2019). Evaluation of differences in individual treatment response in schizophrenia spectrum disorders: A meta-analysis. JAMA Psychiatry, 76(10), 1063–1073.

Wittgenstein, L. (1953). Philosophische Untersuchungen / Philosophical Investigations, Revised fourth edition, translated by G.E.M. Anscombe, P. M. S. Hacker and Joachim Schulte (2009). Blackwell Publishing.

Wolpe, J. (1968). Psychotherapy by reciprocal inhibition. Conditional Reflex: A Pavlovian Journal of Research & Therapy, 3(4), 234–240. https://doi.org/10.1007/BF03000093

Wolpe, J., & Rachman, S. (1960). Psychoanalytic “Evidence”: A Critique Based on Freud’s Case of Little Hans. The Journal of Nervous and Mental Disease, 131(2), 135.

Wood, A. M. , Royston, P., & White, I. R. (2015). The estimation and use of predictions for the assessment of model performance using large samples with multiply imputed data. Biometrical Journal, 57(4), 614–632. https://doi.org/10.1002/bimj.201400004

Worchel, P. (1955). A critique of current trends in psychotherapy research. Journal of Counseling Psychology, 2(4), 297.

World Health Organization (2011). Global burden of mental disorders and the need for a comprehensive, coordinated response from health and social sectors at the country level—Report by the secretariat. https://apps.who.int/gb/ebwha/pdf_files/EB130/B130_9-en.pdf

World Health Organization (2023). Mental Health Gap Action Programme (mhGAP) guideline for mental, neurological and substance use disorders. https://www.who.int/publications/i/item/9789240084278

Wright, C. (1994). Truth and Objectivity. Cambridge, MA: Harvard University Press. ISBN 9780674910874.

Yarkoni, T. (2022). The generalizability crisis. Behavioral and Brain Sciences, 45, e1. https://doi.org/10.1017/S0140525X20001685

Zagaria, A., Andó, A., & Zennaro, A. (2020). Psychology: A Giant with Feet of Clay. Integrative Psychological and Behavioral Science, 54(3), 521–562. https://doi.org/10.1007/s12124-020-09524-5

Zale, A., Lasecke, M., Baeza-Hernandez, K., Testerman, A., Aghakhani, S., Muñoz, R. F., & Bunge, E. L. (2021). Technology and psychotherapeutic interventions: Bibliometric analysis of the past four decades. Internet Interventions, 25, 100425. https://doi.org/10.1016/j.invent.2021.100425

Zeileis, A., Hothorn, T., & Hornik, K. (2008). Model-based recursive partitioning. Journal of Computational and Graphical Statistics, 17(2), 492–514.