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Adaptive group-sequential design with population enrichment in phase 3 randomized controlled trials with two binary
Arup K Sinha1, Lemuel Moye2, Linda B Piller3
1Department of Biostatistics, School of Public Health, Yale University, New Haven, Connecticut.
This study introduces an adaptive design for drug development using co-primary endpoints. This method enhances power by enriching the population and focusing on responsive subgroups, improving trial efficiency.
Area of Science:
- Clinical Trial Design
- Biostatistics
- Pharmacometrics
Background:
- Co-primary endpoints offer a comprehensive assessment of experimental interventions compared to single endpoints.
- Traditional trial designs may dilute treatment effects in heterogeneous populations.
Purpose of the Study:
- To propose and develop an adaptive population enrichment design utilizing co-primary endpoints.
- To provide theoretical basis and stage-wise boundary values for futility and efficacy assessments.
- To evaluate the design's power under various efficacy and subgroup configurations.
Main Methods:
- A two-arm, two-stage parallel group design incorporating population enrichment at the interim analysis.
- Non-responsive subgroups are dropped, with efficacy testing conducted solely in the enriched population.
- Two binary co-primary endpoints are evaluated, requiring superiority in both for trial success.
Main Results:
- Stage I futility and efficacy boundary values are -0.1040 and 2.2761, respectively (alpha=0.025 per endpoint).
- Stage II futility and efficacy boundary value is 2.2419.
- The design increases power to detect effects in responsive subgroups with substantial treatment effect heterogeneity.
Conclusions:
- Adaptive population enrichment with co-primary endpoints enhances the ability to detect true treatment effects.
- Early dropping of non-responsive subgroups mitigates false-negative results caused by effect dilution.
- This design improves the efficiency and reliability of drug development trials in heterogeneous populations.
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