Abstract #301000

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JSM 2003 Abstract #301000
Activity Number: 363
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #301000
Title: Applying the Delete-a-Group Jackknife Variance Estimator to Analyses of Data from a Complex Longitudinal Survey
Author(s): Julia L. Bienias*+ and Phillip S. Kott and Denis A. Evans
Companies: Rush-Presbyterian-St. Luke's Medical Center and National Agricultural Statistics Service and St. Luke's Medical Center
Address: 1645 W. Jackson, Chicago, IL, 60612-3276,
Keywords: complex surveys ; Poisson sampling ; finite-population inference ; model
Abstract:

The delete-a-group jackknife variance estimator is proving a very useful tool for measuring variances under complex sampling designs. The technique divides the first-phase sample into mutually exclusive and nearly equal variance groups, deletes one group at a time to create a set of replicates, and makes analogous weighting adjustments in each replicate to those done for the sample as a whole. Variance estimation proceeds in the standard (unstratified) jackknife fashion. We apply this method to a complex multiwave longitudinal study, the Chicago Health and Aging Project, which examines risk factors for chronic health problems of older adults, particularly Alzheimer's disease. Every three years, all surviving members of the cohort are interviewed on a variety of health-related topics, including cognitive and physical function measures. At each wave, a "disease-free" cohort is identified, from which a stratified Poisson sample is drawn for detailed clinical evaluation of incident disease at the next wave. We demonstrate the utility of the variance estimator for analytic models and discuss the issue of determining the "right number" of variance groups.

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