Group sequential multi‐arm multi‐stage trial design with treatment selection

Author:

Wu Jianrong1ORCID,Li Yimei2,Zhu Liang3

Affiliation:

1. Division of Epidemiology Biostatistics, and Preventive Medicine University of New Mexico Albuquerque New Mexico USA

2. Department of Biostatistics St. Jude Children's Research Hospital Memphis Tennessee USA

3. Internal Medicine, University of Texas Health Science Center Houston Texas USA

Abstract

A multi‐arm trial allows simultaneous comparison of multiple experimental treatments with a common control and provides a substantial efficiency advantage compared to the traditional randomized controlled trial. Many novel multi‐arm multi‐stage (MAMS) clinical trial designs have been proposed. However, a major hurdle to adopting the group sequential MAMS routinely is the computational effort of obtaining total sample size and sequential stopping boundaries. In this paper, we develop a group sequential MAMS trial design based on the sequential conditional probability ratio test. The proposed method provides analytical solutions for futility and efficacy boundaries to an arbitrary number of stages and arms. Thus, it avoids complicated computational effort for the methods proposed by Magirr et al. Simulation results showed that the proposed method has several advantages compared to the methods implemented in R package MAMS by Magirr et al.

Funder

National Cancer Institute

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

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