A two-stage adaptive allocation for multi-treatment ordinal outcome clinical trials

A multi-treatment two-stage adaptive design is developed for phase III clinical trials with ordinal categorical responses. Starting with an equal randomization phase, asymptotic p -values for testing equality of treatment effects in an interim analysis are used to derive allocation probabilities for second-stage patients. Performance of the proposed design is studied both theoretically and empirically and compared with those of the suitable designs. The practical applicability of the proposed design is further envisaged through redesigning of a real clinical trial. The results of the thorough statistical study show that the proposed design is able to assign most of the patients to the best treatment while maintaining the other ethical concerns like preserving substantial power of a statistical test and maintaining type-I error rates. AMS Subject Classification: 62P10

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Publication Details

Journal
Calcutta Statistical Association Bulletin
Published
2025-07-25
DOI
https://doi.org/10.1177/00080683251352603
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

A two-stage adaptive allocation for multi-treatment ordinal outcome clinical trials

Soumyadeep Das, Rahul Bhattacharya
Calcutta Statistical Association Bulletin
Statistical Methods in Clinical Trials
article

A two-stage adaptive allocation for multi-treatment ordinal outcome clinical trials

Soumyadeep Das, Rahul Bhattacharya
article en

Abstract

A multi-treatment two-stage adaptive design is developed for phase III clinical trials with ordinal categorical responses. Starting with an equal randomization phase, asymptotic p -values for testing equality of treatment effects in an interim analysis are used to derive allocation probabilities for second-stage patients. Performance of the proposed design is studied both theoretically and empirically and compared with those of the suitable designs. The practical applicability of the proposed design is further envisaged through redesigning of a real clinical trial. The results of the thorough statistical study show that the proposed design is able to assign most of the patients to the best treatment while maintaining the other ethical concerns like preserving substantial power of a statistical test and maintaining type-I error rates. AMS Subject Classification: 62P10

Calcutta Statistical Association BulletinVol. 77(2)
University of Calcutta (IN), Saha Institute of Nuclear Physics (IN)
Openalex Percentile: Top 80%
Statistical Methods in Clinical Trials
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A two-stage adaptive allocation for multi-treatment ordinal outcome clinical trials — Soumyadeep Das, Rahul Bhattacharya · Calcutta Statistical Association Bulletin (2025) | TGRS Research Map | TGRS