Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches
Covariate-Adjusted Response-Adaptive Designs Based on Semiparametric Approaches
Abstract We consider theoretical and practical issues for innovatively using a large number of covariates in clinical trials to achieve various design objectives without model misspecification. Specifically, we propose a new family of semiparametric covariate-adjusted response-adaptive randomization (CARA) designs and we use the target maximum likelihood estimation (TMLE) to analyze …