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Published, Version of Record (VoR)Open Access (License Unspecified), Open
Journal article
Imputation of Incident Events in Longitudinal Cohort Studies
American journal of epidemiology, v 174(6), pp 718-726
15 Sep 2011
PMID: 21804050
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Longitudinal cohort studies normally identify and adjudicate incident events detected during follow-up by retrieving medical records. There are several reasons why the adjudication process may not be successfully completed for a suspected event including the inability to retrieve medical records from hospitals and an insufficient time between the suspected event and data analysis. These "incomplete adjudications" are normally assumed not to be events, an approach which may be associated with loss of precision and introduction of bias. In this article, the authors evaluate the use of multiple imputation methods designed to include incomplete adjudications in analysis. Using data from the REasons for Geographic And Racial Differences in Stroke (REGARDS) Study, 2008-2009, they demonstrate that this approach may increase precision and reduce bias in estimates of the relations between risk factors and incident events.
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Details
- Title
- Imputation of Incident Events in Longitudinal Cohort Studies
- Creators
- George Howard - University of Alabama at BirminghamLeslie A. McClure - University of AlabamaClaudia S. Moy - Natl Inst Neurol Disorders & Stroke, NIH, Bethesda, MD USAMonika M. Safford - Univ Alabama, Sch Med, Dept Med, Birmingham, AL 35294 USAMary Cushman - University of VermontSuzanne E. Judd - University of AlabamaBrett M. Kissela - Univ Cincinnati, Sch Med, Dept Neurol, Cincinnati, OH USADawn O. Kleindorfer - Univ Cincinnati, Sch Med, Dept Neurol, Cincinnati, OH USAVirginia J. Howard - Univ Alabama, Sch Publ Hlth, Dept Epidemiol, Birmingham, AL 35294 USADavid J. Rhodes - Univ Alabama, Sch Publ Hlth, Dept Biostat, Birmingham, AL 35294 USAPaul Muntner - Univ Alabama, Sch Publ Hlth, Dept Epidemiol, Birmingham, AL 35294 USAHemant K. Tiwari - Univ Alabama, Sch Publ Hlth, Dept Biostat, Birmingham, AL 35294 USA
- Publication Details
- American journal of epidemiology, v 174(6), pp 718-726
- Publisher
- Oxford Univ Press
- Number of pages
- 9
- Grant note
- U01 NS041588 / National Institute of Neurological Disorders and Stroke, National Institutes of Health, US Department of Health and Human Services; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS) R01HL080477 / NATIONAL HEART, LUNG, AND BLOOD INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI) U01NS041588 / NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000294734600010
- Scopus ID
- 2-s2.0-80052648279
- Other Identifier
- 991019231657304721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health