Kontopantelis, E and Sperrin, M and Mamas, M and Buchan, I (2017) Investigating Heterogeneity of Effects and Associations Using Interaction Terms. Journal of Clinical Epidemiology. ISSN 1878-5921

[img] Text
Interactions manuscript v7.0.docx - Accepted Version
Restricted to Repository staff only until 21 September 2018.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (80kB)

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 analyse each subgroup. Using examples, we demonstrate a practical approach to modelling and interpretation with interaction terms from various measurement scales (categorical by categorical; categorical by continuous; and continuous by continuous).

Item Type: Article
Additional Information: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Elsevier at https://doi.org/10.1016/j.jclinepi.2017.09.012 - please refer to any applicable terms of use of the publisher.
Uncontrolled Keywords: interaction terms, effect heterogeneity, effect modifiers, split-sample
Subjects: R Medicine > RC Internal medicine
Divisions: Faculty of Medicine and Health Sciences > Institute for Science and Technology in Medicine
Depositing User: Symplectic
Date Deposited: 18 Sep 2017 10:35
Last Modified: 26 Sep 2017 13:31
URI: http://eprints.keele.ac.uk/id/eprint/4019

Actions (login required)

View Item View Item