Sample size re-estimation for confirmatory two-stage flexible multi-arm trial with normal outcomes. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Li, Yan; Wang, Guoqiao; Szychowski, Jeff M.
• Is Part Of: Journal of statistical computation and simulation. Volume 90:Issue 1(2020)
• Page Start: 157
• Page End: 178
• Publication Date: 2020-01-02
• Subjects: Multi-arm -- sample size re-estimation -- treatment selection -- adaptive design -- conditional power -- combination test -- interim analysis -- closed test -- clinical trial -- conditional error; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5028505
• DOI: 10.1080/00949655.2019.1675070
• Languages: English
• ISSNs: 0094-9655

Abstract

ABSTRACT: The need for efficient clinical trial designs has led to the development of flexible multi-arm designs. In this paper, we investigated sample size re-estimation (SSR) methods for fully flexible designs that allow for any unplanned treatment selection, early stopping for efficacy or futility. Even though SSR methods for two-arm trials are well developed, they are not directly applicable to certain fully flexible multi-arm trials due to the application of the closed test procedure. We derive SSR procedures based on the conditional power approach in the context of confirmatory multi-arm trials for three designs: inverse normal combination test, Fisher's combination test and flexible group sequential design. We conduct extensive simulation studies to evaluate the performance of the three designs with and without SSR. Results show that the relative performance of the three designs depends on many factors. In practice, simulation studies are usually necessary to help determine the most appropriate design.