A competing risks approach to “biologic” interaction

被引:0
|
作者
Per Kragh Andersen
Anders Skrondal
机构
[1] University of Copenhagen,Department of Biostatistics
[2] Norwegian Institute of Public Health,Division of Epidemiology
来源
Lifetime Data Analysis | 2015年 / 21卷
关键词
Additive rate model; Competing risks; Interaction ; Monotonicity; Necessary and sufficient causes; Regression model;
D O I
暂无
中图分类号
学科分类号
摘要
In epidemiology, the concepts of “biologic” and “statistical” interactions have been the subject of extensive debate. We present a new approach to biologic interaction based on Rothman’s original (Am J Epidemiol, 104:587–592, 1976) discussion of sufficient causes. We do this in a probabilistic framework using competing risks and argue that sufficient cause interaction between two factors can be evaluated via the parameters in a particular statistical model, the additive hazard rate model. We present empirical conditions for presence of sufficient cause interaction and an example based on data from a liver cirrhosis trial illustrates the ideas.
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页码:300 / 314
页数:14
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