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Comment & Response
January 12, 2022

Some Concerns About Imputation Methods for Missing Data

Author Affiliations
  • 1Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine and School of Public Health, Kyoto, Japan
  • 2Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
JAMA Psychiatry. 2022;79(3):270. doi:10.1001/jamapsychiatry.2021.3894

To the Editor Van Lieshout and colleagues1 conducted a randomized clinical trial of an online 1-day cognitive behavioral therapy workshop vs waiting list in a population at risk of postpartum depression and evaluated the effect using the Edinburgh Postnatal Depression Scale, a patient-reported outcome measure of depressive symptom severity. Using linear mixed models (LMM) with restricted maximum likelihood estimation, they showed statistically significant group × time interactions with standard deviations were associated with Edinburgh Postnatal Depression Scale score (B = −2.94, SE = 8.67; P < .001). However, we have some concerns about the imputation methods for missing data used in this study.

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