DESIGNS AND ANALYSIS OF 2-STAGE STUDIES
DESIGNS AND ANALYSIS OF 2-STAGE STUDIES
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DOI：
10.1002/sim.4780110608
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发表时间：
1992-04-01
影响因子：
2
通讯作者：
LIPSITZ, S
中科院分区：
文献类型：
--
作者：
ZHAO, LP;LIPSITZ, S
本文涉及两阶段研究的设计和分析，在第一阶段，反应和暴露变量在一大群受试者中可用。然而，其他协变量仅在第二阶段样本中获得的大组的子集中可用。本文介绍了一类这样的两阶段设计，包括作为特例的两阶段病例对照设计和病例队列设计。在分析这种两阶段数据时，一个目标是在控制了其他协变量之后，提取关于暴露变量和反应之间关系的信息。我们讨论了三种统计方法来分析蒙特卡罗模拟的数据和报告结果，以研究这三种方法的效率。
This paper concerns the design and analysis of two-stage studies, where, at the first stage, the response and the exposure variables are available among a large group of subjects. The other covariables, however, are available in only a subset of the large group, obtained in a second-stage sample. This paper introduces a class of twelve such two-stage designs, including two-stage case-control and case-cohort designs as special cases. In analysing such two-stage data, one objective is to extract information about the relationship between the exposure variable and the response after controlling for other covariables. We discuss three statistical methods to analyse the data and report results of Monte Carlo simulation to study the efficiency of the three methods.