Why Every Clinician Should Know Bayes’ Rule by Bea Tiemens, Renée Wagenvoorde, Cilia Witteman

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Measuring the intensity of mental healthcare: development of the Mental Healthcare Intensity Scale (MHIS) by Thijs Beckers, Bauke Koekkoek, Bea Tiemens, Giel Hutschemaekers

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Potential predictive factors for successful referral from specialist mental-health services to less intensive treatment: A concept mapping study. by Thijs Beckers, Bauke Koekkoek, Giel Hutschemaekers, Bea Tiemens

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Measuring personal recovery in a low-intensity community mental healthcare setting: validation of the Dutch version of the individual recovery outcomes counter (I.ROC) by Thijs Beckers, Bauke Koekkoek, Giel Hutschemaekers, Bridey Rudd, Bea Tiemens

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Predicting Undesired Treatment Outcomes With Machine Learning in Mental Health Care: Multisite Study by Kasper Van Mens, Joran Lokkerbol, Ben Wijnen, Richard Janssen, Robert de Lange, Bea Tiemens

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The relationship between having a job and the outcome of brief therapy in patients with common mental disorders by Ard J. van Oosten, Kasper van Mens, Roland W. B. Blonk, Alex Burdorf, Bea Tiemens

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The feasibility, acceptability and effectiveness of a feedback-informed group treatment (FIGT) tool for patients with anxiety or depressive disorders by Marjolein M. W. Koementas-de Vos, Lucas C. Colleye, Bea Tiemens, Fabiana Engelsbel, Kim de Jong, Cilia L. M. Witteman, M. Annet Nugter

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Applying machine learning on health record data from general practitioners to predict suicidality by Kasper van Mens, Elke Elzinga, Mark Nielen, Joran Lokkerbol, Rune Poortvliet, Gé Donker, Marianne Heins, Joke Korevaar, Michel Dückers, Claire Aussems, Marco Helbich, Bea Tiemens, Renske Gilissen, Aartjan Beekman, Derek de Beurs

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