Determinants of neonatal mortality among married women in the Philippines using Count Regression Models
| dc.contributor.author | Niccolo Aaaron M. Alcantara | |
| dc.date.accessioned | 2025-06-10T02:21:20Z | |
| dc.date.available | 2025-06-10T02:21:20Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | In the past few years, trends of infant and under-five mortality in the Philippines declined steadily, but in the case of neonatal mortality. Thus, there is a great concern on how to further reduce the number of neonatal deaths in the country. One of the best ways to analyze the occurrence of neonatal death is to develop count regression models. In this study, Poisson, negative binomial, zero inflated Poisson, and zero-inflated negative binomial regression models were used to establish an appropriate count regression model to identify the significant determinants of neonatal mortality among married women. Based on various selection criteria, zero-inflated negative binomial model was proved to be superior. The variables ever had multiple births, ever had birth within 2 years of the preceding birth, geographical location, woman’s age, total number of pregnancies, number of household members, and age at first birth were found to be significant determinants of neonatal mortality among married women. | |
| dc.identifier.uri | http://granarium.clsu.edu.ph/handle/123456789/195 | |
| dc.language.iso | en_US | |
| dc.title | Determinants of neonatal mortality among married women in the Philippines using Count Regression Models | |
| dc.type | Thesis |