Abstract #300907

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JSM 2002 Abstract #300907
Activity Number: 259
Type: Contributed
Date/Time: Tuesday, August 13, 2002 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section*
Abstract - #300907
Title: Modeling Disease Progression
Author(s): Deanna Marriott*+ and Morton Brown
Affiliation(s): University of Michigan and University of Michigan
Address: 1420 Washington Heights, SPH2, Ann Arbor, Michigan, 48109-2029, USA
Keywords: disease process ; transition
Abstract:

For models of disease progression, large longitudinal cohort studies are considered the gold standard because they can provide "internally consistent" estimates for progression. However, information about important transitions frequently are not, or cannot be, collected; and estimation of the process may require augmentation of the estimates by biological theory or by estimates from other studies.

This presentation will discuss issues and approaches to modeling disease progression as applied to a model of complications of diabetes. In particular, some of the issues include: 1.) bias in cross-sectional estimates of cohort model; and 2.) incorporation of data from additional studies into disease modeling.

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Revised March 2002