Title | A generalized right truncated bivariate Poisson regression model with applications to health data. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | M. Islam, A, Chowdhury, RI |
Journal | PLoS One |
Volume | 12 |
Issue | 6 |
Pagination | e0178153 |
Date Published | 2017 |
ISSN Number | 1932-6203 |
Keywords | Poisson regression model, Survey Methodology |
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. |
DOI | 10.1371/journal.pone.0178153 |
User Guide Notes | |
Alternate Journal | PLoS ONE |
Citation Key | 9118 |
PubMed ID | 28586344 |
PubMed Central ID | PMC5460823 |