What is a cause and how do we know one ? A grammar for pragmatic epidemiology.
In this paper, criteria used by many epidemiologists as aids in causal inference are reviewed and revised.
The revised scheme emphasizes the distinction between essential properties of a cause and criteria useful for deciding on the presence of these properties in a given case.
A systematic procedure for causal inference tests each essential causal property in turn against appropriate criteria.
For a pragmatic epidemiology in which all determinants serve as causes, their essential properties are held to be association, time order, and direction, in an ascending hierarchy.
Criteria for assocation are probabilistic and can be enhanced by strength and consistency.
Mots-clés Pascal : Epidémiologie, Méthodologie, Causalité, Homme, Article synthèse
Mots-clés Pascal anglais : Epidemiology, Methodology, Causality, Human, Review
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 91-0495694
Code Inist : 002B30A. Création : 199406.