Literature DB >> 3427162

Confounding in epidemiologic studies: the adequacy of the control group as a measure of confounding.

P J Wickramaratne1, T R Holford.   

Abstract

A model for confounding in epidemiologic studies is developed based on the adequacy of the "control" group, instead of the widely used criterion of collapsibility, as a measure of confounding. It is shown that conditions for no confounding in both cohort and case-control studies derived under this model generally agree with the conditions for confounding derived inductively by Miettinen and Cook (1981, American Journal of Epidemiology 114, 593-603). The concept of confounding on which this model is based is compared with the collapsibility criterion in terms of its utility in the design and analysis of epidemiologic studies.

Mesh:

Year:  1987        PMID: 3427162

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  3 in total

1.  On quantifying the magnitude of confounding.

Authors:  Holly Janes; Francesca Dominici; Scott Zeger
Journal:  Biostatistics       Date:  2010-03-04       Impact factor: 5.899

2.  Causal analysis of case-control data.

Authors:  Stephen C Newman
Journal:  Epidemiol Perspect Innov       Date:  2006-01-27

3.  Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets.

Authors:  Rhian Daniel; Jingjing Zhang; Daniel Farewell
Journal:  Biom J       Date:  2020-12-14       Impact factor: 1.715

  3 in total

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