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Population-wide survey with multistage probabilistic sample.
57 The second one, the CESCAS I Study, has started a cohort of participants focused in urban settings from Argentina, Chile and Uruguay to obtain CVD incidence using a multistage probabilistic sample.
Between June 2007 and July 2008, a cross-sectional, epidemiological study was conducted in one phase in these two cities, with the multistage probabilistic sample representative of the population aged 15 to 75 years.
CESCAS I is an observational prospective cohort study with a multistage probabilistic sample of 8000 participants aged 35 74 years from four mid-sized cities representing the Southern Cone of Latin America: Bariloche and Marcos Paz in Argentina, Temuco in Chile and Pando-Barros Blancos in Uruguay.
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Since enrollment information was not available from all schools, two multistage probabilistic sampling strategies were implemented.
For those schools without enrollment information, multistage probabilistic sampling was carried out using simple random selection within strata of city, school type and education level.
The selection of participants followed a multistage, probabilistic sampling design aimed at allowing statistical inference on the outcomes of oral health with regard to the city as a whole and to each one of its 25 areas, which were geographically divided in 2005 by the local health authority for administrative purposes.
A multistage, stratified and probabilistic sampling procedure was used to collect information.
The probabilistic sample was based on a multistage clustered and stratified sample.
The control group was selected using a multistage probabilistic design.
A multistage, probabilistic, biologically based model of carcinogenesis has been developed involving qualitative and quantitative aspects of the process.
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