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.
journal_name
Am J Epidemioljournal_title
American journal of epidemiologyauthors
Howard G,McClure LA,Moy CS,Safford MM,Cushman M,Judd SE,Kissela BM,Kleindorfer DO,Howard VJ,Rhodes DJ,Muntner P,Tiwari HKdoi
10.1093/aje/kwr155subject
Has Abstractpub_date
2011-09-15 00:00:00pages
718-26issue
6eissn
0002-9262issn
1476-6256pii
kwr155journal_volume
174pub_type
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