ANALYTIC METHODS FOR 2-STAGE CASE-CONTROL STUDIES AND OTHER STRATIFIED DESIGNS
ANALYTIC METHODS FOR 2-STAGE CASE-CONTROL STUDIES AND OTHER STRATIFIED DESIGNS
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DOI：
10.1002/sim.4780100509
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发表时间：
1991-05-01
影响因子：
2
通讯作者：
GREENLAND, S
中科院分区：
文献类型：
--
作者：
FLANDERS, WD;GREENLAND, S
巢式病例对照研究，或称队列内病例对照研究，联合收割机结合了队列研究的优势和病例对照研究的效率。 病例对照研究通常可以被视为有两个阶段;第一阶段包括生命状态、疾病和基本协变量确定，第二阶段包括详细协变量和暴露确定。 Breslow和Cain（1988）以及Breslow和Zhao（1988）最近表明，对这种两阶段研究的传统分析可能会忽略一些可用的信息。 在本文中，我们展示了如何将Kalbfleisch和Lawless（1988）开发的伪似然分析应用于两阶段病例对照研究的数据分析。
Nested case-control studies, or case-control studies within a cohort, combine the advantages of cohort studies with the efficiency of case-control studies. Case-control studies can often be viewed as having two stages; the first stage consists of vital status, disease, and basic covariate ascertainment, and the second stage consists of detailed covariate and exposure ascertainment. Breslow and Cain (1988) and Breslow and Zhao (1988) recently showed that conventional analyses of such two-stage studies may ignore some of the available information. In this paper, we show how one can adapt the pseudo-likelihood analyses developed by Kalbfleisch and Lawless (1988) to the analysis of data from two-stage case-control studies.