LOGISTIC DISEASE INCIDENCE MODELS AND CASE-CONTROL STUDIES
成果类型：
Article
署名作者：
PRENTICE, RL; PYKE, R
署名单位：
University of Washington; University of Washington Seattle
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/66.3.403
发表日期：
1979
页码：
403411
关键词：
摘要：
The probability of disease development in a defined time period is described by a log regression model. A model for the regression variable, given disease status, is induced and is applied to case control data. The odds ratio estimators and the asymptotic variance matrices may be obtained by applying the original log regression model to the case control study as if the data are obtained in a prospective study. This result gives a flexible and convenient method of analysis for a range of case control studies in which stratum sizes are reasonably large. The work extends Anderson''s (1972) results on log discrimination and generalizes the findings of Breslow et Powers (1978) on the equivalence of odds ratio estimators when both prospective and retrospective log models are applied to case control data.