Literature DB >> 35689644

Interaction Contrasts and Collider Bias.

Mohammad Ali Mansournia, Maryam Nazemipour, Mahyar Etminan.   

Abstract

Previous papers have mentioned that conditioning on a binary collider would introduce an association between its causes in at least 1 stratum. In this paper, we prove this statement and, along with intuitions, formally examine the direction and magnitude of the associations between 2 risk factors of a binary collider using interaction contrasts. Among level one of the collider, 2 variables are independent, positively associated, and negatively associated if multiplicative risk interaction contrast is equal to, more than, and less than 0, respectively; the same results hold for the other level of the collider if the multiplicative survival interaction contrast, equal to multiplicative risk interaction contrast minus the additive risk interaction contrast, is compared with 0. The strength of the association depends on the magnitude of the interaction contrast: The stronger the interaction is, the larger the magnitude of the association will be. However, the common conditional odds ratio under the homogeneity assumption will be bounded. A figure is presented that succinctly illustrates our results and helps researchers to better visualize the associations introduced upon conditioning on a collider.
© The Author(s) 2022. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  additive model; collider bias; interaction contrast; multiplicative model

Mesh:

Year:  2022        PMID: 35689644     DOI: 10.1093/aje/kwac103

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   5.363


  1 in total

1.  Longitudinal causal effect of modified creatinine index on all-cause mortality in patients with end-stage renal disease: Accounting for time-varying confounders using G-estimation.

Authors:  Mohammad Aryaie; Hamid Sharifi; Azadeh Saber; Farzaneh Salehi; Mahyar Etminan; Maryam Nazemipour; Mohammad Ali Mansournia
Journal:  PLoS One       Date:  2022-08-19       Impact factor: 3.752

  1 in total

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