Group-Sequential Strategies in Clinical Trials with Multiple Co-Primary Outcomes

Area of Science:

• Biostatistics
• Clinical Trial Design
• Statistical Methodology

Background:

• Clinical trials often involve multiple co-primary endpoints, complicating statistical analysis.
• Group-sequential designs offer interim analysis opportunities but require careful planning for multiple endpoints.
• Existing methods may lack flexibility in handling varying analysis schedules and error allocations.

Purpose of the Study:

• To present and evaluate decision-making frameworks for group-sequential clinical trials with multiple co-primary endpoints.
• To incorporate flexibility in the number and spacing of analyses and Type I error allocation.
• To provide guidance for developing efficient group-sequential strategies in complex trial settings.

Main Methods:

• Development of group-sequential decision-making frameworks accommodating multiple co-primary endpoints.
• Investigation of operating characteristics, including power and Type I error rates.
• Exploration of flexibilities like varying analysis frequency and adaptive error spending.

Main Results:

• The proposed frameworks allow for adaptive Type I error allocation and flexible analysis timing.
• These group-sequential strategies can achieve greater efficiency, potentially reducing sample size requirements.
• Operating characteristics were evaluated to demonstrate the performance of the proposed methods.

Conclusions:

• Flexible group-sequential frameworks are effective for clinical trials with multiple co-primary endpoints.
• These methods offer advantages in efficiency and adaptability over traditional fixed-sample designs.
• Guidance is provided for the practical construction of optimized group-sequential clinical trial strategies.