Abstract #300646

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JSM 2003 Abstract #300646
Activity Number: 187
Type: Invited
Date/Time: Tuesday, August 5, 2003 : 8:30 AM to 10:20 AM
Sponsor: WNAR
Abstract - #300646
Title: An Estimating Equations Approach for Analyzing Disability Outcomes among the Elderly
Author(s): Michael E. Miller*+ and Thomas R. Ten Have and Beth A. Reboussin
Companies: Wake Forest University School of Medicine and University of Pennsylvania and Wake Forest University School of Medicine
Address: Medical Center Blvd, Winston-Salem, NC, 27157-1063,
Keywords: longitudinal data ; missing outcomes
Abstract:

Analysts of studies of aged populations face numerous challenges when confronted with analysis of a disability outcome from follow-up data on a cohort of the elderly.In this setting, missing outcomes can be a particularly serious problem since they can occur as a result of institutionalization, death, refusal, or increased disability. An additional issue that may arise relates to how disability is characterized, since continuous, ordinal, nominal, and latent class characterizations of disability historically have been used depending on the question being asked. We present analysis of assistance data from the Longitudinal Study of Aging, a longitudinal survey sample containing missing follow-up for many elderly participants. A model combining different multivariate link functions is used to fit weighted generalized estimating equations to an outcome with categories represented by a mixture of ordinal success states and multiple failure states. By applying the missing data approach of Robins, Rotnitzky, and Zhao to this longitudinal survey sample, the analysis extends the applicability of estimating equations to situations where outcomes may be assumed to be missing at random.

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