Journal article

Using inverse probability weighting to address post-outcome collider bias

Abstract:: We consider the problem of bias arising from conditioning on a post-outcome collider. We illustrate this with reference to Elwert and Winship (2014) but we go beyond their study to investigate the extent to which inverse probability weighting might offer solutions. We use linear models to derive expressions for the bias arising in different kinds of post-outcome confounding, and we show the specific situations in which inverse probability weighting will allow us to obtain estimates that are consistent or, if not consistent, less biased than those obtained via ordinary least squares regression.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Breen, R., & Ermisch, J. (2021). Using inverse probability weighting to address post-outcome collider bias. Sociological Methods and Research, 53(1), 5–27.

MLA Style

Breen, R., and J. Ermisch. “Using Inverse Probability Weighting to Address Post-Outcome Collider Bias.” Sociological Methods and Research, vol. 53, no. 1, SAGE Publications, 2021, pp. 5–27.

Chicago Style

Breen, R, and J Ermisch. 2021. “Using Inverse Probability Weighting to Address Post-Outcome Collider Bias.” Sociological Methods and Research 53 (1): 5–27.
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Files:: Breen_and_Ermisch_2021_Using_inverse_probability.pdf

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Publisher copy:: 10.1177/00491241211043131

Authors

+ Breen, R More by this author

Institution:: University of Oxford
Division:: SSD
Department:: Sociology
Oxford college:: Nuffield College
Role:: Author
ORCID:: 0000-0002-9718-0743

+ Ermisch, J More by this author

Institution:: University of Oxford
Division:: SSD
Department:: Sociology
Research group:: Leverhulme Centre for Demographic Science
Oxford college:: Nuffield College
Role:: Author
ORCID:: 0000-0002-3633-5246

Publisher:: SAGE Publications
Journal:: Sociological Methods and Research More from this journal
Volume:: 53
Issue:: 1
Pages:: 5-27
Publication date:: 2021-11-17
DOI:: 10.1177/00491241211043131
EISSN:: 1552-8294
ISSN:: 0049-1241

Language:: English
Keywords:: directed acyclic graph

post-outcome collider bias

collider bias

inverse probability weighting

linear models
Pubs id:: 1212376
Local pid:: pubs:1212376
Deposit date:: 2023-07-01

Terms of use

Copyright holder:: Breen and Ermisch
Copyright date:: 2021
Rights statement:: © The Author(s) 2021. This article is distributed under the terms of the Creative Commons Attribution 4.0 License which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page.

Licence:: CC Attribution (CC BY)

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