Imputation of incident events in longitudinal cohort studies.

Academic Article

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.
  • Published In

    Keywords

  • Bias, Cause of Death, Continental Population Groups, Female, Follow-Up Studies, Humans, Male, Medical Records, Middle Aged, Models, Statistical, Risk Factors, Stroke, United States
  • Digital Object Identifier (doi)

    Author List

  • Howard G; McClure LA; Moy CS; Safford MM; Cushman M; Judd SE; Kissela BM; Kleindorfer DO; Howard VJ; Rhodes DJ
  • Start Page

  • 718
  • End Page

  • 726
  • Volume

  • 174
  • Issue

  • 6