Interpretation of interaction: A review
Applications
2009-09-29 v1
Abstract
Several different types of statistical interaction are defined and distinguished, primarily on the basis of the nature of the factors defining the interaction. Illustrative examples, mostly epidemiological, are given. The emphasis is primarily on interpretation rather than on methods for detecting interactions.
Keywords
Cite
@article{arxiv.0712.1106,
title = {Interpretation of interaction: A review},
author = {Amy Berrington de González and D. R. Cox},
journal= {arXiv preprint arXiv:0712.1106},
year = {2009}
}
Comments
Published in at http://dx.doi.org/10.1214/07-AOAS124 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)