Probability of success and group sequential designs.

IF 1.3 4区 医学 Q4 PHARMACOLOGY & PHARMACY
Pharmaceutical Statistics Pub Date : 2024-03-01 Epub Date: 2023-11-02 DOI:10.1002/pst.2346
Andrew P Grieve
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引用次数: 0

Abstract

In this article, I extend the use of probability of success calculations, previously developed for fixed sample size studies to group sequential designs (GSDs) both for studies planned to be analyzed by standard frequentist techniques or Bayesian approaches. The structure of GSDs lends itself to sequential learning which in turn allows us to consider how knowledge about the result of an interim analysis can influence our assessment of the study's probability of success. In this article, I build on work by Temple and Robertson who introduced the idea of conditional probability of success, an idea which I also treated in a recent monograph.

成功概率和分组顺序设计。
在这篇文章中,我将先前为固定样本量研究开发的成功概率计算的使用扩展到分组序列设计(GSD),这两种设计都用于计划通过标准频率分析技术或贝叶斯方法进行分析的研究。GSD的结构有助于顺序学习,这反过来又使我们能够考虑关于中期分析结果的知识如何影响我们对研究成功概率的评估。在这篇文章中,我以Temple和Robertson的工作为基础,他们介绍了成功的条件概率的概念,我在最近的一本专著中也谈到了这一概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Pharmaceutical Statistics
Pharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.70
自引率
6.70%
发文量
90
审稿时长
6-12 weeks
期刊介绍: Pharmaceutical Statistics is an industry-led initiative, tackling real problems in statistical applications. The Journal publishes papers that share experiences in the practical application of statistics within the pharmaceutical industry. It covers all aspects of pharmaceutical statistical applications from discovery, through pre-clinical development, clinical development, post-marketing surveillance, consumer health, production, epidemiology, and health economics. The Journal is both international and multidisciplinary. It includes high quality practical papers, case studies and review papers.
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