TY  - JOUR
T1  - Discrete Time Survival Analysis of Age at First Pregnancy Among Nigerian Women
AU - Abiodun, A.A. AU - Oyejola, B.A. AU - Odeniya, O.M. 
JO  - Research Journal of Applied Sciences
VL  - 8
IS  - 3
SP  - 215
EP  - 220
PY  - 2013
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2013.215.220
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2013.215.220
KW  - Survival analysis
KW  -age at first pregnancy
KW  -Discrete Time Logit Model
KW  -random effects
KW  -akaike information criterion
AB  - Discrete time survival analysis approach is often used when 
  only the interval in which the event of failure occurs is known or the event 
  itself occurs in discrete time scale. In this study, the approach was used to 
  analyze data on age at first pregnancy among Nigerian women. Literature also 
  reveals that, in some situations, in addition to observed covariates collected 
  on each individual, there often exists unobserved heterogeneity in the data 
  at individual or cluster level which if not accounted for during analysis may 
  lead to biased estimates and unreliable conclusion. In this study, Discrete 
  Time Logit Model was used to investigate the effect of some covariates (risk 
  factors) on the hazard of age at first pregnancy. To account for unobserved 
  heterogeneity (frailty) the random effects of ethnicity was added to the model. 
  The data used for the study were extracted from the 2005 National HIV/AIDS and 
  Reproductive Health Survey (NARHS). The results of the analysis showed that 
  age at first pregnancy depended on geopolitical zone, location of residence, 
  level of educational attainment, marital status, religion and the age of first 
  sexual initiation. It was also observed, using Akaike Information Criterion 
  (AIC) that the model that accounted for unobserved heterogeneity due to ethnicity 
  was preferred to the one that did not.
ER  -