Journal
BIOMETRICS
Volume 77, Issue 4, Pages 1482-1484Publisher
WILEY
DOI: 10.1111/biom.13493
Keywords
binary; ordinal; and survival endpoints; covariate adjustment; marginal effects; randomization tests
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The study evaluates the efficiency gains of covariate adjustment in settings with different outcomes and shows its benefits in quickly obtaining answers. The suggested approach is an important weapon in fighting against epidemics.
Benkeser et al. present a very informative paper evaluating the efficiency gains of covariate adjustment in settings with binary, ordinal, and time-to-event outcomes. The adjustment method focuses on estimating the marginal treatment effect averaged over the covariate distribution in both arms combined. The authors show that covariate adjustment can achieve power gains that could find answers more quickly. The suggested approach is an important weapon in the armamentarium against epidemics like COVID-19. I recommend evaluating the procedure against more traditional approaches for conditional analyses (e.g., logistic regression) and against blinded methods of building prediction models followed by randomization-based inference.
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