临时的
中期分析
适应性设计
验证性因素分析
计算机科学
医学
可靠性工程
心理学
临床试验
工程类
机器学习
政治学
结构方程建模
内科学
法学
作者
David Lawrence,Frank Bretz,Stuart Pocock
出处
期刊:Milestones in drug therapy
日期:2013-10-16
卷期号:: 77-92
被引量:19
标识
DOI:10.1007/978-3-0348-0709-8_5
摘要
Adaptive designs use accumulating data to modify aspects of the study without undermining its validity and integrity. There are key practical and statistical issues that must be considered when planning an adaptive design, for example, controlling the Type I error rate, prespecifying the adaptation criteria, and setting up well-organised procedures to maintain data confidentiality at interim analyses. The number of adaptations should be limited, preferably to just one in the confirmatory setting. There are several possible types of adaptation; this chapter focuses on a pivotal confirmatory two-stage adaptive design with dose selection at interim, illustrated by the INHANCE study. This comprised a dose-finding stage with dose selection after 14 days of treatment, and a second stage evaluating efficacy and safety during 26 weeks of treatment. An independent data monitoring committee (DMC) selected two indacaterol doses (out of four) based on predefined decision rules and review of unblinded results from an interim analysis. The decision rules were based on trough (24 h post-dose) and early (1–4 h post-dose) bronchodilator effect after 14 days, and safety data. Selected doses were continued into the second, 26 weeks, stage. The INHANCE study provides a successful example of the use of an adaptive design in the confirmatory setting.
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