Document Detail


[The Brazilian Oral Health Survey (SBBrasil 2003): determining sample weights and structural information].
MedLine Citation:
PMID:  22331151     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This is an article on probability sampling written to describe the methods used to calculate and calibrate sample weights of the Brazilian Oral Health Survey (SBBrasil 2003) and identify sample structural variables. It presents an overview of the efforts made to retrieve information from the records used to select the sample units in the sampled municipalities and describes the main problems observed with the survey's database, that acted as constraints tocal culating the natural sample weights and identifying primary sampling units and selection strata. It compares weighted sample estimates with previously published unweighted sample descriptive statistics, concluding that the oral health of the Brazilian population was better than previously disclosed.
Authors:
Rejane Christine de Sousa Queiroz; Margareth Crisóstomo Portela; Pedro Luis do Nascimento Silva; Mauricio Teixeira Leite de Vasconcellos
Publication Detail:
Type:  English Abstract; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Cadernos de saúde pública     Volume:  28     ISSN:  1678-4464     ISO Abbreviation:  Cad Saude Publica     Publication Date:  2012 Feb 
Date Detail:
Created Date:  2012-02-14     Completed Date:  2012-10-04     Revised Date:  2013-03-18    
Medline Journal Info:
Nlm Unique ID:  8901573     Medline TA:  Cad Saude Publica     Country:  Brazil    
Other Details:
Languages:  por     Pagination:  239-55     Citation Subset:  IM    
Affiliation:
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.
Vernacular Title:
Pesquisa sobre Condições de Saúde Bucal da População Brasileira (SBBrasil 2003): determinação dos pesos amostrais e das informações estruturais da amostra.
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MeSH Terms
Descriptor/Qualifier:
Brazil
Calibration
Dental Health Surveys / methods*
Humans
Models, Statistical
Oral Health*
Probability
Research Design / standards*
Sampling Studies*

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