Beta spending function based on conditional power in group sequential design

Author:

Ni Senmiao1ORCID,Zhong Zihang1,Jiang Zhiwei2,Zhao Yang1,Wu Jingwei3ORCID,Yu Hao1,Bai Jianling1ORCID

Affiliation:

1. Department of Biostatistics School of Public Health Nanjing Medical University Nanjing Jiangsu China

2. Beijing KeyTech Statistical Consulting Co., Ltd. Beijing China

3. Department of Epidemiology and Biostatistics College of Public Health Temple University Philadelphia Pennsylvania USA

Abstract

AbstractConditional power (CP) serves as a widely utilized approach for futility monitoring in group sequential designs. However, adopting the CP methods may lead to inadequate control of the type II error rate at the desired level. In this study, we introduce a flexible beta spending function tailored to regulate the type II error rate while employing CP based on a predetermined standardized effect size for futility monitoring (a so‐called CP‐beta spending function). This function delineates the expenditure of type II error rate across the entirety of the trial. Unlike other existing beta spending functions, the CP‐beta spending function seamlessly incorporates beta spending concept into the CP framework, facilitating precise stagewise control of the type II error rate during futility monitoring. In addition, the stopping boundaries derived from the CP‐beta spending function can be calculated via integration akin to other traditional beta spending function methods. Furthermore, the proposed CP‐beta spending function accommodates various thresholds on the CP‐scale at different stages of the trial, ensuring its adaptability across different information time scenarios. These attributes render the CP‐beta spending function competitive among other forms of beta spending functions, making it applicable to any trials in group sequential designs with straightforward implementation. Both simulation study and example from an acute ischemic stroke trial demonstrate that the proposed method accurately captures expected power, even when the initially determined sample size does not consider futility stopping, and exhibits a good performance in maintaining overall type I error rates for evident futility.

Funder

National Natural Science Foundation of China

Qinglan Project of Jiangsu Province of China

Publisher

Wiley

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