A Simulation Study on Adaptive Assignment Versus Randomizations in Clinical Trials
Chien-Tai Lin (),
Yun-Wei Li and
Yi-Jun Hong
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Chien-Tai Lin: Department of Mathematics, Tamkang University, New Taipei City 251301, Taiwan
Yun-Wei Li: Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
Yi-Jun Hong: Department of Mathematics, Tamkang University, New Taipei City 251301, Taiwan
Mathematics, 2024, vol. 13, issue 1, 1-20
Abstract:
This study investigates a sequential clinical trial comparing two treatments with dichotomous outcomes. We evaluate the effectiveness of five adaptive procedures and three randomization methods for assigning patients to different therapies. The primary objective is to identify an optimal treatment allocation policy that maximizes the proportion of successful outcomes in a trial. By comparing the performance of adaptive and randomized procedures, this research provides valuable insights for enhancing treatment allocation strategies in clinical trials, ultimately aiming to improve the overall success rates of therapeutic interventions.
Keywords: adaptive procedures; conditional probability lost; play-the-winner/switch-from-a-loser; randomization methods; robust Bayes (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:13:y:2024:i:1:p:44-:d:1554004
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