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A generalized right truncated bivariate Poisson regression model with applications to health data

A generalized right truncated bivariate Poisson regression model is proposed in this paper. Estimation and tests for goodness of fit and over or under dispersion are illustrated for both untruncated and right truncated bivariate Poisson regression models using marginal-conditional approach. Estimati...

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Detalles Bibliográficos
Autores principales: Islam, M. Ataharul, Chowdhury, Rafiqul I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5460823/
https://www.ncbi.nlm.nih.gov/pubmed/28586344
http://dx.doi.org/10.1371/journal.pone.0178153
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author Islam, M. Ataharul
Chowdhury, Rafiqul I.
author_facet Islam, M. Ataharul
Chowdhury, Rafiqul I.
author_sort Islam, M. Ataharul
collection PubMed
description A generalized right truncated bivariate Poisson regression model is proposed in this paper. Estimation and tests for goodness of fit and over or under dispersion are illustrated for both untruncated and right truncated bivariate Poisson regression models using marginal-conditional approach. Estimation and test procedures are illustrated for bivariate Poisson regression models with applications to Health and Retirement Study data on number of health conditions and the number of health care services utilized. The proposed test statistics are easy to compute and it is evident from the results that the models fit the data very well. A comparison between the right truncated and untruncated bivariate Poisson regression models using the test for nonnested models clearly shows that the truncated model performs significantly better than the untruncated model.
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spelling pubmed-54608232017-06-15 A generalized right truncated bivariate Poisson regression model with applications to health data Islam, M. Ataharul Chowdhury, Rafiqul I. PLoS One Research Article A generalized right truncated bivariate Poisson regression model is proposed in this paper. Estimation and tests for goodness of fit and over or under dispersion are illustrated for both untruncated and right truncated bivariate Poisson regression models using marginal-conditional approach. Estimation and test procedures are illustrated for bivariate Poisson regression models with applications to Health and Retirement Study data on number of health conditions and the number of health care services utilized. The proposed test statistics are easy to compute and it is evident from the results that the models fit the data very well. A comparison between the right truncated and untruncated bivariate Poisson regression models using the test for nonnested models clearly shows that the truncated model performs significantly better than the untruncated model. Public Library of Science 2017-06-06 /pmc/articles/PMC5460823/ /pubmed/28586344 http://dx.doi.org/10.1371/journal.pone.0178153 Text en © 2017 Islam, Chowdhury http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Islam, M. Ataharul
Chowdhury, Rafiqul I.
A generalized right truncated bivariate Poisson regression model with applications to health data
title A generalized right truncated bivariate Poisson regression model with applications to health data
title_full A generalized right truncated bivariate Poisson regression model with applications to health data
title_fullStr A generalized right truncated bivariate Poisson regression model with applications to health data
title_full_unstemmed A generalized right truncated bivariate Poisson regression model with applications to health data
title_short A generalized right truncated bivariate Poisson regression model with applications to health data
title_sort generalized right truncated bivariate poisson regression model with applications to health data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5460823/
https://www.ncbi.nlm.nih.gov/pubmed/28586344
http://dx.doi.org/10.1371/journal.pone.0178153
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