Comparison of classic and Bayesian model for data on perinatal deaths at ISEA, Campina Grande-PB
DOI:
https://doi.org/10.33448/rsd-v9i8.5477Keywords:
Logistic regression; Bayesian inference; Perinatal death.Abstract
Generalized linear models are useful, among other situations, when you want to fit models to data that do not follow normality and cannot be adjusted using only simple linear regression. Another powerful estimation tool is the Bayesian methods, based on conditional probabilities. This work presents an adjustment of logistic regression models with parameters estimated by the maximum likelihood method, which is updated using Bayesian inference techniques. Such methods were applied to data obtained at the Instituto de Saúde Elpídio de Almeida, which is located in the city of Campina Grande - PB. The information refers to pregnant patients seen at this health unit. The objective was to obtain the best possible model that provides us with information about the chance of death of a child due to maternal variables using the maximum likelihood estimation method and the Bayesian method. The adjustments and diagnostics of the models were performed with the aid of the R software. It was found that the model estimated by the maximum likelihood is very close to the Bayesian model.
References
Bolfarine, H., & Sandoval, M. C. (2001). Introdução à inferência estatística. Rio de Janeiro, 2.
Mardia, K. V., & Marshall, R. J. (1984). Maximum likelihood estimation of models for Residual covariance in spatial regression. Biometrika, Oxford University Press, 71(1),135–146.
Ministério da Saúde (2016). Entendendo o SUS. Brasília. Disponível em: <http://portalsaude.saude.gov.br/index.php/cidadao/entenda-o-sus>.
Moral, R. A., Hinde, J., & Demetrio, C. G. (2017). Half-normal plotsandoverdispersedmodels in r: The hnppackage. JournalofStatistical Software, 81 (10), 1–23.
Nelder, J. A., & Baker, R. J. (1972). Generalized linear models. New York: Wiley Online Library.
Paraíba, J. da. Mais de 5 mil partos feitos no Isea-CG são de outras cidades e caso vai ao MFP. Campina Grande: Reportagem, 2018.
Sarinho S. W., Silva G. A. P., Melo F. D. A., & Guimarães M. J. B.( 1998). Causas de óbitos neonatais na Cidade do Recife segundo critério de evitabilidade. An Fac Med Univ Fed Pernambuco; 12 (43),112-5.
Silva C. F., Leite A. J. M., Almeida N. M. G. S., & Gondim R. C. (2006). Fatores de risco para mortalidade infantil em município do nordeste do brasil: linkage entre bancos de dados de nascidos vivos e óbitos infantis-2000 a 2002. Revista Brasileira de Epidemiologia; 9 (1), 69–80.
Victora, C. G., Aquino, E. M. M. L. L. de, Leal, M. do C., Monteiro, C. A., Barros, F. C. L. F. de, & Szwarcwald, C. L. (2011). Saúde de mães e crianças no Brasil: progressos e desafios. The Lancet, 32-46. doi:10.1016/S0140-6736(11)60138-4
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.