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July 20, 2020

Error in Methods Section

JAMA Netw Open. 2020;3(7):e2016001. doi:10.1001/jamanetworkopen.2020.16001

In the Original Investigation titled “Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial,”1 published June 22, 2020, the third-to-last sentence of the first paragraph of the Statistical Analysis subection of the Methods section should read: “A linear regression with an L1 regularization coefficient of 0.01 was chosen to be the calibration model.” This article has been corrected.

Rajpurkar  P, Yang  J, Dass  N,  et al.  Evaluation of a machine learning model based on pretreatment symptoms and electroencephalographic features to predict outcomes of antidepressant treatment in adults with depression: a prespecified secondary analysis of a randomized clinical trial.   JAMA Netw Open. 2020;3(6):e206653. doi:10.1001/jamanetworkopen.2020.6653Google Scholar