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

TitleA generalized right truncated bivariate Poisson regression model with applications to health data
Publication TypeJournal Article
Year of Publication2017
AuthorsM. Islam, A, Chowdhury, RI
JournalPloS one
Volume12
Issue6
Paginatione0178153 - e0178153
Date Published2017/06/06
ISBN Number1932-6203
Keywords*Data Interpretation, Statistical, Accidents, Traffic/statistics & numerical data, Continental Population Groups, Female, Health Personnel/*statistics & numerical data, Health Services Research/*statistics & numerical data, Humans, Male, Models, Statistical, Poisson Distribution
Abstract

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.

URLhttps://www.ncbi.nlm.nih.gov/pubmed/28586344
User Guide Notes

28586344[pmid]

Endnote Keywords

PONE-D-16-30805[PII]

Short TitlePLoS One
Citation Key10435