Survival Analysis of Premature Infants Admitted to Neonatal Int ensiveCare Unit (NICU) in Northwest Ethiopia using Semi-Parametric Fr ailtyModel

Journal of Biometrics & Biostatistics

article

SheferawYehuala¹  Salie Ayalew²  ZinabuTeka² 

[1] Department of Statistics, College of Natural Sciences, Jimma University;Department of Statistics, College of Natural and Computational Science, University of Gondar

关键词: Cox proportional hazard model;    Frailty model;    Premature infant;    Hospital;    Neonatal mortality;   

DOI  :  10.4172/2155-6180.1000223

来源: Hilaris Publisher

【 摘 要 】

In this research, the cox proportional hazard model and the semi-parametric gamma frailty model were compared on the survival of premature infants admitted to neonatal intensive care unit from December 29, 2011 to April 6, 2014. A retrospective study design was used to collect the data from patients chart. A frailty effect (θ=0.252, P-Value = 0.0031 < α=0.05) was obtained from the semi-parametric gamma frailty model, and mortality was depend within and across categories of premature infants based on their gestational age. The values of frailty were dispersed and hence induce greater heterogeneity in the infant hazards. Therefore, when there is heterogeneity, semi-parametric gamma frailty model could be used and lead to acceptable conclusions. Both models identifies Antenatal Care Visit, gravidity of (6-10), HIV status of mother, Respiratory Distress Syndrome, Prenatal Asphyxia, anemia and breastfeed initiated as the most determinant and statistically associated with time to death of premature infants admitted to NICU. Based on the model comparison analysis, semi-parametric gamma frailty was the best model to fit the data.

【 授权许可】

Unknown