Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes

DOI10.1111/biom.13377zbMath1520.62136MaRDI QIDQ6055509

Daniel O. Scharfstein, Alex Luedtke, Unnamed Author, Unnamed Author, Unnamed Author, Michael G. Rosenblum

Publication date: 30 October 2023

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

survival analysiscovariate adjustmentCOVID-19randomized trialordinal outcomes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

Bayesian computational methods for state-space models with application to SIR model ⋮ Design aspects of COVID‐19 treatment trials: Improving probability and time of favorable events ⋮ Discussion on “Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment for binary, ordinal, and time‐to‐event outcomes” ⋮ Estimation of the odds ratio in a proportional odds model with censored time-lagged outcome in a randomized clinical trial

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