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J Clin Epidemiol. 1999 May;52(5):399-403.

Estimation and sample design in prevalence surveys of dementia.

Author information

1
Department of Environmental Health, University of Washington, Seattle 98195-4691, USA.

Abstract

Population prevalence rates of dementia using stratified sampling have previously been estimated using two methods: standard weighted estimates and a logistic model-based approach. An earlier study described this application of the model-based approach and reported a small computer simulation comparing the performance of this estimator to the standard weighted estimator. In this article we use large-scale computer simulations based on data from the recently completed Kame survey of prevalent dementia in the Japanese-American residents of King County, Washington, to describe the performance of these estimators. We found that the standard weighted estimator was unbiased. This estimator performed well for a sample design with proportional allocation, but performed poorly for a sample design that included large strata that were lightly sampled. The logistic model-based estimator performed consistently well for all sample designs considered in terms of the extent of variability in estimation, although some modest bias was observed.

PMID:
10360334
DOI:
10.1016/s0895-4356(99)00003-7
[Indexed for MEDLINE]

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