Sampling design for the World Health Survey in Brazil.
Cadernos de saúde pública / Ministério da Saúde, Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública, ISSN: 0102-311X, Vol: 21 Suppl, Issue: suppl 1, Page: 89-99
2005
- 51Citations
- 17,325Usage
- 26Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=33645892612&origin=inward; http://dx.doi.org/10.1590/s0102-311x2005000700010; http://www.ncbi.nlm.nih.gov/pubmed/16463000; http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2005000700010&lng=en&tlng=en; http://www.scielo.br/pdf/csp/v21s1/10.pdf; http://www.scielo.br/scielo.php?script=sci_abstract&pid=S0102-311X2005000700010&lng=en&tlng=en; http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2005000700010; http://www.scielo.br/scielo.php?script=sci_abstract&pid=S0102-311X2005000700010; http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2005000700010&lng=en&tlng=en; http://www.scielosp.org/scielo.php?script=sci_abstract&pid=S0102-311X2005000700010&lng=en&tlng=en; http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0102-311X2005000700010; http://www.scielosp.org/scielo.php?script=sci_abstract&pid=S0102-311X2005000700010; https://dx.doi.org/10.1590/s0102-311x2005000700010; https://www.scielo.br/j/csp/a/3B5p68R7KkyhvZgxNRHTcjg/?lang=en
FapUNIFESP (SciELO)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know