Type I error

Thursday, November 8, 2018 - 2:30pm - 3:00pm
Feifang Hu (George Washington University)
Covariate-adjusted randomization procedure is frequently used in comparative studies (such as clinical trials for precision medicine) to increase the covariate balance across treatment groups. However, as the randomization inevitably uses the covariate information when forming balanced treatment groups, the validity of classical statistical methods following such randomization is often unclear.In this talk, we discuss the theoretical properties of statistical methods based on general covariate-adjusted randomization under the linear model framework.
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