Sampling design for the World Health Survey in Brazil

Bibliographic Data

ID5169995
AuthorsMauricio Teixeira Leite De Vasconcellos (0000-0003-1658-2589, Brazilian Institute of Geography and Statistics), Pedro Luis Do Nascimento Silva (0000-0002-9378-7986, Brazilian Institute of Geography and Statistics), Célia Landmann Szwarcwald (0000-0001-9168-1750, Fundação Oswaldo Cruz)
Year2005
Volume21
Issuesuppl 1
PagesS89-S99
Publication date2005-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCadernos de Saude Publica (JOURNAL)
Journal identifiersISSN: 0102-311X • E-ISSN: 1678-4464
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/s0102-311x2005000700010
PMID16463000
OpenAlexW2153630232
SCIELO_PIDS0102-311X2005000700010
LanguageEN
Citations received29
References cited3

This paper describes the sample design used in the Brazilian application of the World Health Survey. The sample was selected in three stages. First, the census tracts were allocated in six strata defined by their urban/rural situation and population groups of the municipalities (counties). The tracts were selected using probabilities proportional to the respective number of households. In the second stage, households were selected with equiprobability using an inverse sample design to ensure 20 households interviewed per tract. In the last stage, one adult (18 years or older) per household was selected with equiprobability to answer the majority of the questionnaire. Sample weights were based on the inverse of the inclusion probabilities in the sample. To reduce bias in regional estimates, a household weighting calibration procedure was used to reduce sample bias in relation to income, sex, and age group

Census · Geography · Population · Sample (material) · Sampling (signal processing) · Sampling design · Sociology · Statistics · Survey sampling · Weighting · Computer Science · Demography · Food Security and Health in Diverse Populations · Income, Poverty, and Inequality · Mathematics · Medicine

Tools

Open DOISci-HubOpen Access