Abstract
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.
Original language | English |
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Journal | Lifetime Data Analysis |
Volume | 21 |
Issue number | 2 |
Pages (from-to) | 300-314 |
Number of pages | 15 |
ISSN | 1380-7870 |
DOIs | |
Publication status | Published - Apr 2015 |