Distinguishing between confounders and effect modifiers using stratified analysis and logistic regression. A case study in healthcare epidemiology

Kritsotakis, E.I. orcid.org/0000-0002-9526-3852 (2020) Distinguishing between confounders and effect modifiers using stratified analysis and logistic regression. A case study in healthcare epidemiology. SAGE Research Methods Cases.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 SAGE Research Methods.
Dates:
  • Accepted: 6 January 2020
  • Published (online): 23 March 2020
  • Published: 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Sheffield Centre for Health and Related Research
Depositing User: Symplectic Sheffield
Date Deposited: 11 Feb 2020 10:10
Last Modified: 01 Apr 2020 13:17
Published Version: https://methods.sagepub.com/case/confounders-effec...
Status: Published
Publisher: SAGE
Refereed: Yes
Identification Number: https://doi.org/10.4135/9781529735024
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