COMPARATIVE STUDY ON LOGIT AND PROBIT MODELS IN THE PREDICTION OF BRONCHO-PULMONARY DYSPLASIA STATUS OF INFANTS
COMPARATIVE STUDY ON LOGIT AND PROBIT MODELS IN THE PREDICTION OF BRONCHO-PULMONARY DYSPLASIA STATUS OF INFANTS
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Date
2018-06
Authors
KOLAWOLE, Ismail Adekunle
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Abstract
Broncho Pulmonary Dysplasia (BPD) is a form of chronic lung disease that develops in preterm neonates treated with oxygen and positive-pressure ventilation. The disease affects premature babies and contributes to their morbidity and mortality. This research seeks to fit and compare the predictive powers of Logistic Regression (Logit) Modeland Probability Regression (Probit) Model in tracking infants’ BPD status using gender and weights at two different time intervals. The data used for the analysis were samples of 50 infants drawn from an underlying population of children with low birth weight (g) from Ahmadu Bello University Teaching Hospital Zaria. The children were confined to a neonatal intensive care unit, where they require intubation during the first 12 hours of life, and they survive for at least 28 days and their weights measured four weeks later. The results obtained found explanatory variables (weight at birth, weight after Four weeks of life and gender) used to be significantly associated with the occurrence of BPD in infants and suggested that, Probit fits BPD data more than Logit. It is therefore recommended that Clinics should adopt the use of the probit model fitted by this research to detect prevalence of BPD among infants so that adequate measures for prevention and control can be put in place early enough to signal the danger of the full manifestation of the disease
Description
A THESIS SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES, AHMADU BELLO UNIVERSITY, ZARIA, NIGERIA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF THE DEGREE OF MASTER OF SCIENCE (M.Sc.) IN STATISTICS DEPARTMENT OF STATISTICS, FACULTY OF PHYSICAL SCIENCE AHMADU BELLO UNIVERSITY, ZARIA, NIGERIA
Keywords
COMPARATIVE STUDY,, LOGIT,, PROBIT MODELS,, PREDICTION,, BRONCHO-PULMONARY DYSPLASIA STATUS,, INFANTS,