Modelling of Maternal Health Care Services using Multinomial Logistic Regression

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dc.contributor.authorAdewara, J.A
dc.contributor.authorOgunniran, A.J
dc.contributor.authorOnyeka-Ubaka, J.N
dc.date.accessioned2019-03-04T13:48:09Z
dc.date.available2019-03-04T13:48:09Z
dc.date.issued2014
dc.descriptionJournal Articlesen_US
dc.description.abstractSeveral methods which have been adopted to analyze multi-category data yields unsatisfactory results because of strict assumptions regarding normality, linearity, and homoscedasticity. As a result, Multinomial logistic regression is considered as an alternative because it does not assume normality, linearity, or homoscedasticity (Hosmer & Lemeshow, (2000)). The study attempted to use Maximum likelihood estimation and predicted probability to model Maternal Health Care Services data based on a set of explanatory variables. Also to determine the indices that affect Mortality rate. The result shows that wealth index has a significant impact on the use of public and private health delivery facilities. Educational level, antenatal care, assistance during delivery and place of residence are also important factors in assessing Maternal Health Care Services. Finally, the study revealed that educated women, who are wealthy, living in urban areas and who received antenatal care services and assistance during delivery are more likely to utilize Maternal Health Care Services (MHCS)en_US
dc.description.sponsorshipTertiary Education Trust Funden_US
dc.identifier.citationAdewara, J.A, Oguniran, A.J, and Onyeka-Ubaka, J.N (2014). Modelling of Maternal Health Care Services using Multinomial Logistic Regression. Journal of Medicine, Technology and Science, Vol.2 (1&2).en_US
dc.identifier.issn2408-5049
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/3887
dc.language.isoenen_US
dc.publisherUniversity of Lagos Press, Akokaen_US
dc.relation.ispartofseriesUniversity of lagos Journal;Vol.2 (1&2)
dc.subjectMaximum likelihood estimatesen_US
dc.subjectBinomial logiten_US
dc.subjectMaternal Health Servicesen_US
dc.subjectMulti-category dataen_US
dc.subjectMultinomial Logit Regressionen_US
dc.titleModelling of Maternal Health Care Services using Multinomial Logistic Regressionen_US
dc.typeArticleen_US
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Volume 2, Issue 1 & 2, 2014