This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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508
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Health Policy Statistics Section
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Abstract - #307946 |
Title:
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Collider Stratification Bias as a Threat to Validity in U.S.-Based Health Disparities Research
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Author(s):
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Whitney R. Robinson*+ and Jay Kaufman
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Companies:
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University of Michigan and McGill University
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Address:
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3632 SPH Tower, Ann Arbor, MI, 48109, United States
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Keywords:
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regression ;
causal inference ;
race ;
sex ;
health disparities ;
directed acyclic graphs
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Abstract:
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We argue that collider-stratification bias (CSB) is a threat to validity when estimating covariate-adjusted disparities for demographic factors like sex and race. Using directed acyclic graphs (DAGs), we describe the pervasiveness of CSB, a type of induced selection bias, in disparities research. In modeling Black-White disparities, most potential covariates are (1) differentially distributed between Blacks and Whites and (2) differentially associated with unmeasured causal factors in Blacks and Whites. If adjusted for, the covariates will be colliders and induce CSB. In estimating sex disparities, fewer potential covariates are colliders: adjusting for parental and residential characteristics uncorrelated with a respondent's sex should not necessarily induce bias. Using regression-based modeling to estimate adjusted disparities may be of limited utility in health disparities research.
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