Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/13940
Title: Empirical and fully Bayesian methods for identifying the spatial distribution of the adolescent pregnancy rates in a brazilian state
Other Titles: Métodos empíricos e totalmente bayesianos para a identificação da distribuição espacial da gravidez adolescente em um estado brasileiro
Authors: Roza, Daiane Leite da
Martinez, Edson Zangiacomi
Keywords: Spatial statistical methods
Bayesian methods
Pregnancy in adolescence
Ecological study
Métodos estatísticos espaciais
Métodos bayesianos
Gravidez adolescente
Estudo ecológico
Issue Date: 1-Aug-2017
Publisher: Universidade Federal de Lavras
Citation: ROZA, D. L.; MARTINEZ, E. Z. Empirical and fully Bayesian methods for identifying the spatial distribution of the adolescent pregnancy rates in a brazilian state. Revista Brasileira de Biometria, Lavras, v. 34, n. 2, p. 243-257, jun. 2016.
Abstract: Spatial statistical methods are often employed to describe the spatial distribution of the occurrence of an event of interest in a geographical space. In this paper we compare the global and local empirical Bayesian methods and the fully Bayesian method for identifying the spatial distribution of the adolescent pregnancy rates in Minas Gerais, the largest State in the Southeastern of Brazil. The fully Bayesian method consider a conditional autoregressive (CAR) distribution to the spatial components of the model. The methods used in this study suggest that the percentages of live births to  adolescent mother (LBAM) are not randomly distributed across the State of Minas Gerais. The percentages of LBAM tend to be higher in the North than in the South of the State. This suggest an important association between the occurrence of teenage pregnancy and socio-economic indicators, given that the North is the poorest region of the State while the South region concentrates the municipalities with the highest rates of development.
URI: http://repositorio.ufla.br/jspui/handle/1/13940
Appears in Collections:Revista Brasileira de Biometria



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