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Julia Giesemann, Jaime Delgadillo, Brian Schwartz, Björn Bennemann & Wolfgang Lutz. (2023) Predicting dropout from psychological treatment using different machine learning algorithms, resampling methods, and sample sizes. Psychotherapy Research 33:6, pages 683-695.
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Ying Zhou, Xiao-yu Chen, Ding Liu, Yu-lin Pan, Yan-fei Hou, Ting-ting Gao, Fei Peng, Xiao-cong Wang & Xiao-yuan Zhang. (2022) Predicting first session working alliances using deep learning algorithms: A proof-of-concept study for personalized psychotherapy. Psychotherapy Research 32:8, pages 1100-1109.
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Juan Martin Gómez Penedo, Brian Schwartz, Julia Giesemann, Julian A. Rubel, Anne-Katharina Deisenhofer & Wolfgang Lutz. (2022) For whom should psychotherapy focus on problem coping? A machine learning algorithm for treatment personalization. Psychotherapy Research 32:2, pages 151-164.
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Katharina Senger, Annette Schröder, Maria Kleinstäuber, Julian A. Rubel, Winfried Rief & Jens Heider. (2022) Predicting optimal treatment outcomes using the Personalized Advantage Index for patients with persistent somatic symptoms. Psychotherapy Research 32:2, pages 165-178.
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John R. Keefe, Dianne L. Chambless, Jacques P. Barber & Barbara L. Milrod. (2021) Predictors and moderators of treatment dropout in cognitive-behavioral and psychodynamic therapies for panic disorder. Psychotherapy Research 31:4, pages 432-442.
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Yan-Fei Hou, Ding Liu, She-Gang Zhou, Zhao-Ming Xie, Xue-Ling Yang, Ying Zhou & Xiao-Yuan Zhang. (2021) The capacity for psychotherapy process scale: development and psychometric validation of patient self-reports. Psychotherapy Research 31:2, pages 236-246.
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Katie Aafjes-van Doorn, Céline Kamsteeg, Jordan Bate & Marc Aafjes. (2021) A scoping review of machine learning in psychotherapy research. Psychotherapy Research 31:1, pages 92-116.
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Brian Schwartz, Zachary D. Cohen, Julian A. Rubel, Dirk Zimmermann, Werner W. Wittmann & Wolfgang Lutz. (2021) Personalized treatment selection in routine care: Integrating machine learning and statistical algorithms to recommend cognitive behavioral or psychodynamic therapy. Psychotherapy Research 31:1, pages 33-51.
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J. Ryan Kilcullen, Louis G. Castonguay, Rebecca A. Janis, Michael N. Hallquist, Jeffrey A. Hayes & Benjamin D. Locke. (2021) Predicting future courses of psychotherapy within a grouped LASSO framework. Psychotherapy Research 31:1, pages 63-77.
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Nadine Friedl, Thomas Berger, Tobias Krieger, Franz Caspar & Martin Grosse Holtforth. (2020) Using the Personalized Advantage Index for individual treatment allocation to cognitive behavioral therapy (CBT) or a CBT with integrated exposure and emotion-focused elements (CBT-EE). Psychotherapy Research 30:6, pages 763-775.
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Julian A. Rubel, Sigal Zilcha-Mano, Julia Giesemann, Jessica Prinz & Wolfgang Lutz. (2020) Predicting personalized process-outcome associations in psychotherapy using machine learning approaches—A demonstration. Psychotherapy Research 30:3, pages 300-309.
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Susanne Bremer, Noortje I. van Vliet, Suzanne Van Bronswijk, Rafaele Huntjens, Ad de Jongh & Maarten K. van Dijk. (2023) Predicting optimal treatment outcomes in phase‐based treatment and direct trauma‐focused treatment among patients with posttraumatic stress disorder stemming from childhood abuse. Journal of Traumatic Stress.
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Christian Liebmann, Annika C. Konrad, Tania Singer & Philipp Kanske. (2023) Differential reduction of psychological distress by three different types of meditation-based mental training programs: A randomized clinical trial. International Journal of Clinical and Health Psychology 23:4, pages 100388.
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Susanne Bremer-Hoeve, Noortje I. van Vliet, Suzanne C. van Bronswijk, Rafaele J.C. Huntjens, Ad de Jongh & Maarten K. van Dijk. (2023) Predictors of treatment dropout in patients with posttraumatic stress disorder due to childhood abuse1. Frontiers in Psychiatry 14.
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Fang Li, Frederike Jörg, Maarten J.M. Merkx & Talitha Feenstra. (2023) Early symptom change contributes to the outcome prediction of cognitive behavioral therapy for depression patients: A machine learning approach. Journal of Affective Disorders 334, pages 352-357.
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Brooklynn Bailey & Daniel R. Strunk. (2023) Predicting anxiety and depression over 12 months of the COVID‐19 pandemic: A machine learning study. Journal of Clinical Psychology.
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Line Rettig Lauritzen, Celia Faye Jacobsen, Jan Nielsen, Susanne Lunn, Birgit Bork Mathiesen, Fredrik Falkenström & Stig Poulsen. (2023) Common factors, Responsiveness and Outcome in Psychotherapy (CROP): study protocol for a naturalistic prospective cohort study of psychotherapy in Denmark. BMJ Open 13:6, pages e072277.
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Clarissa Bauer-Staeb, Emma Griffith, Julian J. Faraway & Katherine S. Button. (2023) Personalised psychotherapy in primary care: evaluation of data-driven treatment allocation to cognitive–behavioural therapy versus counselling for depression. BJPsych Open 9:2.
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Barna Konkolÿ Thege, Talia Emmanuel, Julie Callanan & Kathleen D. Askland. (2023) Trans-diagnostic determinants of psychotherapeutic treatment response: The pressing need and new opportunities for a more systematic way of selecting psychotherapeutic treatment in the age of virtual service delivery. Frontiers in Public Health 11.
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Zachary D. Cohen, Robert J. DeRubeis, Rachel Hayes, Edward R. Watkins, Glyn Lewis, Richard Byng, Sarah Byford, Catherine Crane, Willem Kuyken, Tim Dalgleish & Susanne Schweizer. (2022) The Development and Internal Evaluation of a Predictive Model to Identify for Whom Mindfulness-Based Cognitive Therapy Offers Superior Relapse Prevention for Recurrent Depression Versus Maintenance Antidepressant Medication. Clinical Psychological Science 11:1, pages 59-76.
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Christian A Webb, Matthew J Hirshberg, Richard J Davidson & Simon B Goldberg. (2022) Personalized Prediction of Response to Smartphone-Delivered Meditation Training: Randomized Controlled Trial. Journal of Medical Internet Research 24:11, pages e41566.
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Friedrich-Samuel Taubitz, Björn Büdenbender & Georg W. Alpers. (2022) What the future holds: Machine learning to predict success in psychotherapy. Behaviour Research and Therapy 156, pages 104116.
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Erkki Heinonen, Paul Knekt & Olavi Lindfors. (2022) What Works for Whom: Patients' Psychological Resources and Vulnerabilities as Common and Specific Predictors of Working Alliance in Different Psychotherapies. Frontiers in Psychiatry 13.
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Carlijn J. M. Wibbelink, Arnoud Arntz, Raoul P. P. P. Grasman, Roland Sinnaeve, Michiel Boog, Odile M. C. Bremer, Eliane C. P. Dek, Sevinç Göral Alkan, Chrissy James, Annemieke M. Koppeschaar, Linda Kramer, Maria Ploegmakers, Arita Schaling, Faye I. Smits & Jan H. Kamphuis. (2022) Towards optimal treatment selection for borderline personality disorder patients (BOOTS): a study protocol for a multicenter randomized clinical trial comparing schema therapy and dialectical behavior therapy. BMC Psychiatry 22:1.
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M. F. Miggiels, P. M. ten Klooster, S. Bremer-Hoeve, J. J. M. Dekker, M. J. H. Huibers, E. Reefhuis, H. L. Van & M. K. van Dijk. (2021) The D*Phase-study: study protocol for a pragmatic two-phased, randomised controlled (non-inferiority) trial that addresses treatment non-response and compares cognitive behavioural therapy and short-term psychodynamic supportive psychotherapy for major depression. BMC Psychiatry 21:1.
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Till Langhammer, Kevin Hilbert, Berit Praxl, Clemens Kirschbaum, Andrea Ertle, Julia Asbrand & Ulrike Lueken. (2021) Mental health trajectories of individuals and families following the COVID-19 pandemic: Study protocol of a longitudinal investigation and prevention program. Mental Health & Prevention 24, pages 200221.
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Brooklynn Bailey, Megan L. Whelen & Daniel R. Strunk. (2021) Adhering to COVID‐19 health guidelines: Examining demographic and psychological predictors of adherence. Applied Psychology: Health and Well-Being 13:4, pages 968-985.
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Youjin Kim, Yunsoo Kim, Jiyoung Hwang, Tim J. van den Broek, Bumjo Oh, Ji Yeon Kim, Suzan Wopereis, Jildau Bouwman & Oran Kwon. (2021) A Machine Learning Algorithm for Quantitatively Diagnosing Oxidative Stress Risks in Healthy Adult Individuals Based on Health Space Methodology: A Proof-of-Concept Study Using Korean Cross-Sectional Cohort Data. Antioxidants 10:7, pages 1132.
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Ata Pourabbasi, Amin Akbari Ahangar & Sarah Nouriyengejeh. (2021) Value-based eating habits; exploring religio-cultural nutritional behavior norms. Journal of Diabetes & Metabolic Disorders 20:1, pages 187-192.
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Adam M. Chekroud, Julia Bondar, Jaime Delgadillo, Gavin Doherty, Akash Wasil, Marjolein Fokkema, Zachary Cohen, Danielle Belgrave, Robert DeRubeis, Raquel Iniesta, Dominic Dwyer & Karmel Choi. (2021) The promise of machine learning in predicting treatment outcomes in psychiatry. World Psychiatry 20:2, pages 154-170.
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Lorenzo Lorenzo-Luaces, Allison Peipert, Robinson De Jesús Romero, Lauren A. Rutter & Natalie Rodriguez-Quintana. (2020) Personalized Medicine and Cognitive Behavioral Therapies for Depression: Small Effects, Big Problems, and Bigger Data. International Journal of Cognitive Therapy 14:1, pages 59-85.
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Anita Eskildsen, Nina Reinholt, Suzanne van Bronswijk, René B. K. Brund, Anne B. Christensen, Morten Hvenegaard, Mikkel Arendt, Anja Alrø, Stig Poulsen, Nicole K. Rosenberg, Marcus J. H. Huibers & Sidse Arnfred. (2020) Personalized Psychotherapy for Outpatients with Major Depression and Anxiety Disorders: Transdiagnostic Versus Diagnosis-Specific Group Cognitive Behavioural Therapy. Cognitive Therapy and Research 44:5, pages 988-1001.
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Nadine Friedl, Tobias Krieger, Karine Chevreul, Jean Baptiste Hazo, Jérôme Holtzmann, Mark Hoogendoorn, Annet Kleiboer, Kim Mathiasen, Antoine Urech, Heleen Riper & Thomas Berger. (2020) Using the Personalized Advantage Index for Individual Treatment Allocation to Blended Treatment or Treatment as Usual for Depression in Secondary Care. Journal of Clinical Medicine 9:2, pages 490.
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Thomas T. Kim, Steven Dufour, Colin Xu, Zachary D. Cohen, Louisa Sylvia, Thilo Deckersbach, Robert J. DeRubeis & Andrew A. Nierenberg. (2019) Predictive modeling for response to lithium and quetiapine in bipolar disorder. Bipolar Disorders 21:5, pages 428-436.
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Joshua E.J. Buckman, Rob Saunders, Zachary D. Cohen, Katherine Clarke, Gareth Ambler, Robert J. DeRubeis, Simon Gilbody, Steven D. Hollon, Tony Kendrick, Edward Watkins, Ian R. White, Glyn Lewis & Stephen Pilling. (2020) What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database. Wellcome Open Research 4, pages 69.
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Joshua E.J. Buckman, Rob Saunders, Zachary D. Cohen, Katherine Clarke, Gareth Ambler, Robert J. DeRubeis, Simon Gilbody, Steven D. Hollon, Tony Kendrick, Edward Watkins, Ian R. White, Glyn Lewis & Stephen Pilling. (2019) What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database. Wellcome Open Research 4, pages 69.
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