title: Study sampling in the Canadian Study of Health and Aging.
abstract: The Canadian Study of Health and Aging drew representative samples of people aged 65 or over from the community and institutions across Canada. The sample was designed to provide regional and national prevalence estimates for dementia by age and sex. Thirty-six sampling areas were used in a stratified cluster design with optimal allocation; sampling weights were developed to provide population estimates. The sample included 9,008 people aged 65 or over from the community, and 1,255 from institutions. This report describes the sampling procedures, the methods used to recruit people to the study and participation rates, the characteristics of the resulting sample, and the way in which sample weights should be used.
authors.affiliation: Department of Epidemiology & Community Medicine, University of Ottawa, Ontario, Canada.
authors.forename: I
authors.initials: I
authors.lastname: McDowell
authors.forename: R
authors.initials: R
authors.lastname: Aylesworth
authors.forename: M
authors.initials: M
authors.lastname: Stewart
authors.forename: G
authors.initials: G
authors.lastname: Hill
authors.forename: J
authors.initials: J
authors.lastname: Lindsay
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002170:Canada / Q000453:epidemiology; D015331:Cohort Studies; D003430:Cross-Sectional Studies; D003625:Data Collection / Q000706:statistics & numerical data; D003704:Dementia / Q000453:epidemiology* / Q000209:etiology; D015340:Epidemiologic Research Design; D005260:Female; D006801:Humans; D015994:Incidence; D008134:Long-Term Care / Q000706:statistics & numerical data; D008297:Male; D012494:Sampling Studies