Interpretation of interaction: A review
Amy Berrington de Gonz\'alez, D. R. Cox
TL;DR
This paper reviews various types of statistical interactions, focusing on their interpretation rather than detection methods, with illustrative epidemiological examples to clarify concepts.
Contribution
It provides a comprehensive review of interaction types and emphasizes interpretative aspects, aiding understanding in epidemiological research.
Findings
Different types of statistical interaction are defined and distinguished.
Illustrative epidemiological examples clarify interaction concepts.
Focus on interpretation over detection methods.
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.
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