Statistical power in randomized intervention studies with noncompliance.
Statistical power in randomized intervention studies with noncompliance.
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DOI：
10.1037/1082-989x.7.2.178
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发表时间：
2002-06
影响因子：
7
通讯作者：
Booil Jo
中科院分区：
文献类型：
--
作者：
Booil Jo
本研究考察了随机干预研究中影响统计效力的各种因素。在蒙特卡罗模拟的基础上，本研究展示了统计能力如何随依从率、研究设计、结果分布和协变量信息而变化。它也检查了这些因素如何影响权力在不同的方法估计干预效果。治疗意图分析和编译器平均因果效应估计作为估计不遵医性干预效果的两种可选方法进行了比较。这项调查的结果为设计和评估考虑不遵守的干预研究提供了实际意义。
This study examined various factors that affect statistical power in randomized intervention studies with noncompliance. On the basis of Monte Carlo simulations, this study demonstrates how statistical power changes depending on compliance rate, study design, outcome distributions, and covariate information. It also examines how these factors influence power in different methods of estimating intervention effects. Intent-to-treat analysis and complier average causal effect estimation are compared as 2 alternative ways of estimating intervention effects under noncompliance. The results of this investigation provide practical implications in designing and evaluating intervention studies taking into account noncompliance.