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Multiple-objective response-adaptive repeated measurement designs for clinical trials
Authors:Yuanyuan Liang  Keumhee Chough Carrière
Institution:1. Department of Epidemiology and Biostatistics, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229-3900, USA;2. 437 Central Academic Building, Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2G1
Abstract:In a response-adaptive design, we review and update the trial on the basis of outcomes in order to achieve a specific goal. Response-adaptive designs for clinical trials are usually constructed to achieve a single objective. In this paper, we develop a new adaptive allocation rule to improve current strategies for building response-adaptive designs to construct multiple-objective repeated measurement designs. This new rule is designed to increase estimation precision and treatment benefit by assigning more patients to a better treatment sequence. We demonstrate that designs constructed under the new proposed allocation rule can be nearly as efficient as fixed optimal designs in terms of the mean squared error, while leading to improved patient care.
Keywords:Response-adaptive design (RAD)  Repeated measurement design (RMD)  Multiple-objective design  Self and mixed carryover effects model  Evaluation function  Optimality criteria  Mean squared error (MSE)
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