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Discussion of “Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes”
Author(s) -
Zhang Min,
Zhang Baqun
Publication year - 2021
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/biom.13492
Subject(s) - covariate , econometrics , estimator , inference , computer science , statistics , mathematics , artificial intelligence