Investigating heterogeneity of effects and associations using interaction terms

Kontopantelis, Evangelos, Sperrin, Matthew, Mamas, Mamas A and Buchan, Iain E ORCID: 0000-0003-3392-1650 (2018) Investigating heterogeneity of effects and associations using interaction terms. JOURNAL OF CLINICAL EPIDEMIOLOGY, 93. pp. 79-83.

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Abstract

Effect heterogeneity, the variability of an association or exposure across subgroups, usually warrants further investigation. The aim of this deeper analysis is to identify effect modifiers (or moderators) and quantify their relationship with the exposure. We explain why it is better to harness interaction effects within a single analytic model than to use separate models to analyze each subgroup. Using examples, we demonstrate a practical approach to modeling and interpretation with interaction terms from various measurement scales (categorical by categorical; categorical by continuous; and continuous by continuous).

Item Type:	Article
Uncontrolled Keywords:	Interaction terms, Effect heterogeneity, Effect modifiers, Split sample, Stata R, Education
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Population Health
Depositing User:	Symplectic Admin
Date Deposited:	23 Feb 2022 09:43
Last Modified:	18 Jan 2023 21:11
DOI:	10.1016/j.jclinepi.2017.09.012
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3149481