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：
2002-06-01
影响因子：
7
通讯作者：
Jo, B
中科院分区：
文献类型：
--
作者：
Jo, B
本研究考察了影响随机干预研究中统计功效的各种因素，且不符合规定。在蒙特卡罗模拟的基础上，本研究展示了统计功效如何根据依从率、研究设计、结果分布和协变量信息而变化。它还研究了这些因素如何影响估计干预效果的不同方法中的力量。将意向治疗分析和依从者平均因果效应估计作为估计不依从情况下干预效果的两种替代方法进行比较。这项调查的结果为设计和评估考虑违规情况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.