A Simulation Study on Adaptive Assignment Versus Randomizations in Clinical Trials

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 a...

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Main Authors: Chien-Tai Lin, Yun-Wei Li, Yi-Jun Hong
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/13/1/44
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author Chien-Tai Lin
Yun-Wei Li
Yi-Jun Hong
author_facet Chien-Tai Lin
Yun-Wei Li
Yi-Jun Hong
author_sort Chien-Tai Lin
collection DOAJ
description 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.
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spelling doaj-art-639a3587eb514fc9a7c26944e92df6a42025-01-10T13:18:04ZengMDPI AGMathematics2227-73902024-12-011314410.3390/math13010044A Simulation Study on Adaptive Assignment Versus Randomizations in Clinical TrialsChien-Tai Lin0Yun-Wei Li1Yi-Jun Hong2Department of Mathematics, Tamkang University, New Taipei City 251301, TaiwanInstitute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei 112304, TaiwanDepartment of Mathematics, Tamkang University, New Taipei City 251301, TaiwanThis 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.https://www.mdpi.com/2227-7390/13/1/44adaptive proceduresconditional probability lostplay-the-winner/switch-from-a-loserrandomization methodsrobust Bayes
spellingShingle Chien-Tai Lin
Yun-Wei Li
Yi-Jun Hong
A Simulation Study on Adaptive Assignment Versus Randomizations in Clinical Trials
Mathematics
adaptive procedures
conditional probability lost
play-the-winner/switch-from-a-loser
randomization methods
robust Bayes
title A Simulation Study on Adaptive Assignment Versus Randomizations in Clinical Trials
title_full A Simulation Study on Adaptive Assignment Versus Randomizations in Clinical Trials
title_fullStr A Simulation Study on Adaptive Assignment Versus Randomizations in Clinical Trials
title_full_unstemmed A Simulation Study on Adaptive Assignment Versus Randomizations in Clinical Trials
title_short A Simulation Study on Adaptive Assignment Versus Randomizations in Clinical Trials
title_sort simulation study on adaptive assignment versus randomizations in clinical trials
topic adaptive procedures
conditional probability lost
play-the-winner/switch-from-a-loser
randomization methods
robust Bayes
url https://www.mdpi.com/2227-7390/13/1/44
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