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19. STRUCTURED ADDITIVE REGRESSION MODEL USING MULTINOMIAL RESPONSE AND ITS APPLICATION TO CHOICE PLACE OF DELIVERY by Olasupo Ahmed O, Abdullah K.-K.A and Abdullahi, A.A Trans of NAMP Volume 10, (July and November, 2019), pp141 – 148
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STRUCTURED ADDITIVE REGRESSION MODEL USING MULTINOMIAL RESPONSE AND ITS APPLICATION TO CHOICE PLACE OF DELIVERY by Olasupo Ahmed O, Abdullah K.-K.A and Abdullahi, A.A Trans of NAMP Volume 10, (July and November, 2019), pp141 – 148

Department of Mathematical Sciences, Olabisi Onabanjo University, Ago Iwoye,

Ogun State, Nigeria.

Abstract

Access to quality healthcare during childbirth is a crucial factor for taming maternal and child mortality and morbidity. Increasing this access in developing countries depends on understanding the factors influencing maternal healthcare decision at a geographical location. This study examined the additive regression model to capture the linear effects, the non-linear effects and the spatial effects in a unified framework. The spatial covariate was assumed to follow Markov random field prior, second order random walk prior for the non-linear effects, while a diffuse prior was assumed for the linear effects. The secondary data obtained from demography and health surveys in the West Africa country (Guinea) was used to model women choice of place of delivery and associated factors. The result shows that education, wealth and women dwelling in an urban area were positively associated with delivery taking place in a health facility center. It was also discussed that the religion played a significant role. The women who practiced Islamic religion had a negative significant likelihood of delivering in a health facility center. The likelihood of delivery taking place in a health facility center increases as the mother increase in age, while the likelihood decreases as the number of children given birth to by the woman increases.

Keywords: Guinea, Multinomial response, Place of delivery, Structured additive regression model, Spatial covariate, West Africa.

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