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The baseline examination was conducted from 1997 to 2001 among the general population of West Pomerania aged 20 79 years using a multistage random sampling design.
The sample was selected using a multistage random sampling method that include four levels; primary sampling units, police jurisdictions, survey locations and passing-by drivers (Lacey et al. 2009).
Respondents were selected using a multistage random sampling design.
The study group was sampled using a multistage random cluster procedure yielding 9,203 students aged 12 21 years.
The study group was obtained using a multistage random cluster procedure to select school classes within schools.
We recruited a site-based (i.e., CHC based) sample aged 18 years and older using a multistage random sampling process.
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To ensure an adequate representation from the country as a whole, we used a multistage random sampling technique described below.
In order to obtain a representative sample of the adult general population of the country, we used a multistage random cluster sampling technique to select households in all three physiographic divisions of Nepal, and, within each division, all five development regions (Far-Western, Mid-Western, Western, Central and Eastern).
We used a multistage random cluster sampling design to identify households for interview.
The survey used a multistage, random sampling design to provide representative samples of the adult population in 31 European countries (the 27 Member States of the European Union, three candidate countries – Croatia, Turkey, and the former Yugoslav Republic of Macedonia – and the Turkish Cypriot Community).
A study was conducted, using a multistage simple random sampling design, to determine the structural characteristics of the traditional cooking stoves, amount of wood fuel consumed in the rural floodplain areas in Bangladesh, and also to figure out the socio-economic and environmental consequences of wood fuel usage in the traditional cooking stove.
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