Abstract:Noncompliance issue is common in early phase clinical trials; and may lead to biased estimation of the intent‐to‐treat effect and incorrect conclusions for the clinical trial. In this work, we propose a Bayesian approach for sequentially monitoring the phase II randomized clinical trials that takes account for the noncompliance information. We adopt the principal stratification framework and propose to use Bayesian additive regression trees for selecting useful baseline covariates and estimating the complier a… Show more
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