Year: 2007
Type: article
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.
Source: The Annals of Applied Statistics
DOI: 10.1214/07-aoas124
Authors: Amy Berrington de González, D. R. Cox
Institution: Johns Hopkins University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2069788322
