| Titre : | Estimation and sample design in prevalence surveys of dementia. (1999) |
| Auteurs : | S.D. EDLAND ; A.B. GRAVES ; E.B. LARSON ; W.C. MCCORMICK ; Department of Medicine. University of Washington. Seattle. WA. USA |
| Type de document : | Article |
| Dans : | Journal of clinical epidemiology (vol. 52, n° 5, 1999) |
| Pagination : | 399-403 |
| Langues: | Anglais |
| Mots-clés : | Démence Alzheimer ; Epidémiologie ; Prévalence ; Estimation ; Homme ; Système nerveux [pathologie] |
| Résumé : | [BDSP. Notice produite par INIST iNicxR0x. Diffusion soumise à autorisation]. 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. |
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