Titlebook: Applied Statistics in Biomedicine and Clinical Trials Design; Selected Papers from Zhen Chen,Aiyi Liu,Yi Tsong Conference proceedings 2015

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Bayesian Functional Mixed Models for Survival Responses with Application to Prostate Cancerwhich not only allows dimension reduction of the parameter space but also allows efficient sampling from the conditional distributions. We illustrate our approach with a recent prostate cancer clinical trial study.

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Bayesian Predictive Approach to Early Termination for Enriched Enrollment Randomized Withdrawal Triabability for observing a sufficient magnitude of response rate at the end of enriched enrollment phase given the observed data at an interim look. The method is applied to derive futility stopping rules, and the sensitivity of the futility stopping rules is examined based upon the choice of prior di

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Group Sequential Methods for Comparing Correlated Receiver Operating Characteristic Curves and derive the asymptotic covariance structure for comparative ROC statistics. Relating the difference between empirical ROC curves to the Kiefer process, we also show these results can be used to conduct a GSD using standard software.

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Some Characteristics of the Varying-Stage Adaptive Phase II/III Clinical Trial Designrnative hypotheses for both plausible endpoints. Here, we explore characteristics of the design when the alternative hypothesis for only one of the two endpoints is true, and the treatment effect for another endpoint is null (an extremely worst case) or lower than what was anticipated per trial desi

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Bayesian Design of Noninferiority Clinical Trials with Co-primary Endpoints and Multiple Dose Comparpproach has the potential of power increase and hence sample size reduction due to the incorporation of the historical data and the correlation structure among multiple co-primary endpoints while it still maintains the family-wise type I error control without additional multiplicity adjustment. In t

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