| Literature DB >> 25613424 |
Per Kragh Andersen1, Anders Skrondal.
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.Entities:
Mesh:
Substances:
Year: 2015 PMID: 25613424 DOI: 10.1007/s10985-015-9318-z
Source DB: PubMed Journal: Lifetime Data Anal ISSN: 1380-7870 Impact factor: 1.588