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 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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Publication Details

Journal
Mathematics
Published
2024-12-26
DOI
https://doi.org/10.3390/math13010044
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

A Simulation Study on Adaptive Assignment Versus Randomizations in Clinical Trials

Yung-Shan Hong, Yun Li, Chien‐Tai Lin
Mathematics
Statistical Methods in Clinical Trials
article

A Simulation Study on Adaptive Assignment Versus Randomizations in Clinical Trials

Yung-Shan Hong, Yun Li, Chien‐Tai Lin
article en

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.

MathematicsVol. 13(1)
Tamkang University (TW), National Yang Ming Chiao Tung University (TW)
Openalex Percentile: Top 75%
Statistical Methods in Clinical Trials
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