Multiple-objective response-adaptive repeated measurement designs for clinical trials |
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Authors: | Yuanyuan Liang Keumhee Chough Carrière |
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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 |
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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. |
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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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