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An efficient sequential design of clinical trials
Authors:Yi Cheng  Yu Shen
Affiliation:1. Department of Mathematical Sciences, Indiana University, South Bend, IN 46634, United States;2. Biostatistics Department, the M.D. Anderson Cancer Center, Houston, TX, United States
Abstract:We propose an efficient group sequential monitoring rule for clinical trials. At each interim analysis both efficacy and futility are evaluated through a specified loss structure together with the predicted power. The proposed design is robust to a wide range of priors, and achieves the specified power with a saving of sample size compared to existing adaptive designs. A method is also proposed to obtain a reduced-bias estimator of treatment difference for the proposed design. The new approaches hold great potential for efficiently selecting a more effective treatment in comparative trials. Operating characteristics are evaluated and compared with other group sequential designs in empirical studies. An example is provided to illustrate the application of the method.
Keywords:Decision theory   Group sequential clinical trial design   Loss function   Predicted power   Reduced-bias estimator
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