Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1

John-Jose Nunez, Teyden T. Nguyen, Yihan Zhou, Bo Cao, Raymond T. Ng, Jun Chen, Benicio N. Frey, Roumen Milev, Daniel J. Müller, Susan Rotzinger, Claudio N. Soares, Rudolf Uher, Sidney H. Kennedy, Raymond W. Lam

PLOS ONE, 2021. DOI 10.1371/journal.pone.0253023

Has this study been replicated?

This paper is itself a replication attempt. The study it set out to replicate is listed below.

Study replicated

Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study, Nie et al. (2018). PLOS ONE. View paper

Cite this record

Nunez, J.-J., Nguyen, T. T., Zhou, Y., Cao, B., Ng, R. T., Chen, J., Frey, B. N., Milev, R., Müller, D. J., Rotzinger, S., Soares, C. N., Uher, R., Kennedy, S. H., & Lam, R. W. (2021). Replication of machine learning methods to predict treatment outcome with antidepressant medications in patients with major depressive disorder from STAR*D and CAN-BIND-1. Plos One, 16(6), e0253023. https://doi.org/10.1371/journal.pone.0253023

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