A response adaptive design for ordinal categorical responses

Area of Science:

• Clinical Trials Methodology
• Biostatistics
• Ordinal Data Analysis

Background:

• Phase III clinical trials require robust designs for evaluating treatment efficacy.
• Ordinal categorical outcomes are common in clinical research but present analytical challenges.
• Adaptive designs allow for modifications during a trial, potentially increasing efficiency.

Purpose of the Study:

• To develop and evaluate a two-treatment response adaptive design for phase III trials.
• To utilize the Goodman-Kruskal measure of association for ordinal outcomes.
• To demonstrate the design's applicability and acceptability with real-world data.

Main Methods:

• Development of a novel two-treatment response adaptive design.
• Application of the Goodman-Kruskal measure of association for ordinal outcomes.
• Empirical and theoretical investigation of the design's statistical properties.
• Illustration using two distinct clinical trial datasets.

Main Results:

• The proposed adaptive design is theoretically sound and empirically validated.
• The Goodman-Kruskal measure effectively handles ordinal categorical treatment outcomes.
• The design demonstrated acceptability and practical utility in trauma and rheumatoid arthritis trials.

Conclusions:

• The developed adaptive design offers a valuable approach for phase III clinical trials with ordinal outcomes.
• This methodology enhances the statistical rigor and efficiency of treatment response evaluation.
• The design's successful application in diverse patient populations underscores its versatility.