2020
DOI: 10.1590/1980-549720200086
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Características das empresas de saneamento associadas à fluoretação da água dos sistemas de abastecimento de municípios do Brasil, 2008

Abstract: RESUMO: Introdução: Avaliou-se o efeito ajustado das características das empresas de saneamento na provisão da fluoretação da água de abastecimento público nos municípios brasileiros. Métodos: Estudo ecológico transversal com base no Censo Demográfico 2010, Pesquisa Nacional de Saneamento Básico 2008 e Atlas de Desenvolvimento Humano 2010. As variáveis independentes foram as características das empresas e dos municípios e o desfecho foi a falta de provisão da fluoretação. Estimou-se a razão de prevalência … Show more

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Cited by 3 publications
(2 citation statements)
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“…Estimation of the PR using a Poisson regression model has been shown to be correct and robust with different prevalences (low and high) in crude and adjusted models, as opposed to odds ratio calculation [20][21][22]. This methodology for estimating a PR has been used in several cross-sectional studies [23][24][25]. Lastly, an estimate was considered statistically significant when the p value was less than 0.05.…”
Section: Discussionmentioning
confidence: 99%
“…Estimation of the PR using a Poisson regression model has been shown to be correct and robust with different prevalences (low and high) in crude and adjusted models, as opposed to odds ratio calculation [20][21][22]. This methodology for estimating a PR has been used in several cross-sectional studies [23][24][25]. Lastly, an estimate was considered statistically significant when the p value was less than 0.05.…”
Section: Discussionmentioning
confidence: 99%
“…Se ha demostrado que la estimación de la RP mediante un modelo de regresión de Poisson es correcta y robusta con diferentes prevalencias (baja y alta) en modelos crudos y ajustados, en comparación con el cálculo del odds ratio (20)(21)(22). Esta metodología para estimar una RP se ha utilizado en varios estudios transversales (23)(24)(25). Por último, una estimación se consideró estadísticamente significativa cuando el valor de p fue menor a 0,05.…”
Section: Análisis Estadísticounclassified