A Cox Proportional Hazard Model Approach to Age at First Sexual Intercourse in Nigeria

Obite, Chukwudi Paul; Bartholomew, Desmond Chekwube; Duru, Iheoma Blessing; Ismaila-Cosmos, Joan; Chukwuemeka, Chidiebere

doi:10.4236/ojs.2020.102018

Cited by 2 publications

(2 citation statements)

References 14 publications

(8 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For a categorical explanatory variable, a reference level (usually the first or last level of the variable) will be chosen and the other levels of the explanatory variable will be compared with the chosen reference level. The Cox model assumes that the hazard ratio of any two individuals is constant over time [12].…”

Section: Theoretical Aspectmentioning

confidence: 99%

Cox Proportional Hazard Model for Survival Time of Neonatal Mortality in Neonatal Intensive Care Unit of Hospitals in River Nile State-Sudan

Ali¹,

Mohammed²

2022

OJS

View full text Add to dashboard Cite

Cox Proportional Hazard model is a popular statistical technique for exploring the relationship between the survival time of neonates and several explanatory variables. It provides an estimate of the study variables' effect on survival after adjustment for other explanatory variables, and allows us to estimate the hazard (or risk) of death of newborn in NICU of hospitals in River Nile State-Sudan for the period (2018)(2019)(2020). Study Data represented (neonate gender, mode of delivery, birth type, neonate weight, resident type, gestational age, and survival time). Kaplan-Meier method is used to estimate survival and hazard function for survival times of newborns that have not completed their first month. Of 700 neonates in the study area, 25% of them died during 2018-2020. Variables of interest that had a significant effect on neonatal death by Cox Proportional Hazard Model analysis were neonate weight, resident type, and gestational age. In Cox Proportional Hazard Model analysis all the variables of interest had an effect on neonatal death, but the variables with a significant effect included, weight of neonate, resident type and gestational age.

show abstract

Section: Theoretical Aspectmentioning

confidence: 99%

Cox Proportional Hazard Model for Survival Time of Neonatal Mortality in Neonatal Intensive Care Unit of Hospitals in River Nile State-Sudan

Ali¹,

Mohammed²

2022

OJS

View full text Add to dashboard Cite

show abstract

“…The effect of covariate is multiplicative on time scale in AFT model whereas it is multiplicative on hazard scale in Cox model. The Cox model and test for the proportional hazard assumption is discussed in Obite et al (2020).…”

Section: The Accelerated Failure Time Model (Aft)mentioning

confidence: 99%

Marriage to first birth interval in Nigeria: analysis of the roles of social-demographic and cultural factors

et al. 2021

Self Cite

View full text Add to dashboard Cite

Marriage to first birth interval is used as a measure of the fertility rate of married women and it is known to be influenced by some factors. In this paper, we studied the effect of various socio-demographic and cultural factors on the interval between marriage and first birth in Nigeria using the 2018 Nigerian Demographic and Health Survey data. The analysis was done using the accelerated failure time (AFT) model and the Kaplan-Meier plot. The result showed that on the average, the interval of marriage to first birth is 23.90 months. It means that it takes a Nigerian couple about 2 years (24 months) to give birth to their first child. The results showed that women who married early have longer first birth interval than those that married late. Muslims have longer first birth interval than Christians. Women from North East, North West and South South have longer first birth interval than women in North Central while those from South West have shorter first birth interval than those from North Central. Residence has no statistical significant effect at 0.05 alpha level on the marriage to first birth interval. Women with primary and secondary education have shorter first birth interval than women with no education while the husband's education has no statistical significant effect at 0.05 alpha level on the first birth interval. Women with early first sexual intercourse have shorter first birth interval than those with late first sexual while women that have ever used traditional and modern contraceptive method have shorter first birth interval than women that have not used any contraceptive method. There should be targeted orientation on sexual and reproductive matters to those with higher first birth interval so that desirable conditions would be yielded by controlling these groups. KeywordsAccelerated failure time model • First birth interval • Kaplan-Meier plot • Cox model • Socio-demographic and cultural factors

show abstract

A Cox Proportional Hazard Model Approach to Age at First Sexual Intercourse in Nigeria

Cited by 2 publications

References 14 publications

Cox Proportional Hazard Model for Survival Time of Neonatal Mortality in Neonatal Intensive Care Unit of Hospitals in River Nile State-Sudan

Cox Proportional Hazard Model for Survival Time of Neonatal Mortality in Neonatal Intensive Care Unit of Hospitals in River Nile State-Sudan

Marriage to first birth interval in Nigeria: analysis of the roles of social-demographic and cultural factors

Contact Info

Product

Resources

About