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Journal article
An Investigation of Selection Bias in Estimating Racial Disparity in Stroke Risk Factors
American journal of epidemiology, v 188(3), pp 587-597
01 Mar 2019
PMID: 30452548
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Abstract
Selection due to survival or attrition might bias estimates of racial disparities in health, but few studies quantify the likely magnitude of such bias. In a large national cohort with moderate loss to follow-up, we contrasted racial differences in 2 stroke risk factors, incident hypertension and incident left ventricular hypertrophy, estimated by complete-case analyses, inverse probability of attrition weighting, and the survivor average causal effect. We used data on 12,497 black and 17,660 white participants enrolled in the United States (2003-2007) and collected incident risk factor data approximately 10 years after baseline. At follow-up, 21.0% of white participants and 23.0% of black participants had died; additionally 22.0% of white participants and 28.4% of black participants had withdrawn. Individual probabilities of completing the follow-up visit were estimated using baseline demographic and health characteristics. Adjusted risk ratio estimates of racial disparities from complete-case analyses in both incident hypertension (1.11, 95% confidence interval: 1.02, 1.21) and incident left ventricular hypertrophy (1.02, 95% confidence interval: 0.84, 1.24) were virtually identical to estimates from inverse probability of attrition weighting and survivor average causal effect. Despite racial differences in mortality and attrition, we found little evidence of selection bias in the estimation of racial differences for these incident risk factors.
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Details
- Title
- An Investigation of Selection Bias in Estimating Racial Disparity in Stroke Risk Factors
- Creators
- D Leann Long - Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AlabamaGeorge Howard - Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AlabamaDustin M Long - Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AlabamaSuzanne Judd - Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AlabamaJennifer J Manly - Department of Neurology, Columbia University Irving Medical Center, New York, New YorkLeslie A McClure - Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PennsylvaniaVirginia G Wadley - Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AlabamaMonika M Safford - Division of General Internal Medicine, Cornell School of Medicine, New York, New YorkRonit Katz - Kidney Research Institute, University of Washington, Seattle, WashingtonM Maria Glymour - Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
- Publication Details
- American journal of epidemiology, v 188(3), pp 587-597
- Publisher
- Oxford University Press; United States
- Grant note
- U01 NS041588 / NINDS NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000467881700012
- Scopus ID
- 2-s2.0-85066860299
- Other Identifier
- 991014877659004721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health