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.
Reference
- 1.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.2020.6653 [DOI] [PMC free article] [PubMed] [Google Scholar]