Bayesian Regression Method with Gaussian and Binomial Links for the Analysis of Nigerian Children Nutritional Status (Stunting)

Lasisi, Kazeem E

Bayesian Regression Method with Gaussian and Binomial Links for the Analysis of Nigerian Children Nutritional Status (Stunting)

Lasisi, Kazeem E * §

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§ Abubakar Tafawa Balewa University

Bayesian Regression Method with Gaussian and Binomial Links for the Analysis of Nigerian Children Nutritional Status (Stunting)

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Abstract

Children’s nutritional status is a reflection of their overall health. Malnutrition is associated with more than half of all children deaths worldwide. A study into geographical variability of nutritional status of children in Nigeria was observed from geo statistical mapping and a continuous covariates stunting (height for age) that exhibit pronounced non-linear relationships with the response variable was analysed. To properly account for stunting effects on child’s age, sex, their place of resident, mothers’ educational levels, parents’ wealth index, regions and state of the child, kriging and additive models were merged using modified Cox model. The resulting Generalized Additive Mixed Model (GAMM) representation for the geo additive model allows for fitting and analysis using BayesX software. The Multiple Indicator Cluster Survey 3 (MICS3) data set contains several variables. Only those that are believed to be related to nutritional status were selected. All categorical covariates are effect coded. The child’s age is assumed to be nonlinear; the state is spatial effect while other variables are parametric in nature.

References

9 Cites in Article

Reference Format

(2004). Understanding and Quantifying Mountain Tourism.
(2007). United Nations International Children’s Fund (UNICEF).
Adebayo,L Fahrmeir (2002). Analyzing Child Mortality in Nigeria with Geo additive Survival Models.
D Cox (1972). Regression Models and Life Tables (with discussion).
C Rasmussen (1996). Evaluation of Gaussian Processes and other Methods for Non-Linear Regression.
Annibale Biggeri,Emanuela Dreassi,Marco Marchi (2004). A multilevel Bayesian model for contextual effect of material deprivation.
T Kneib,L Fahrmeir (2004). A mixed model approach for structured hazard regression.
Ngianga-Bakwin Kandala,Tumwaka Madungu,Jacques Emina,Kikhela Nzita,Francesco Cappuccio (2011). Malnutrition among children under the age of five in the Democratic Republic of Congo (DRC): does geographic location matter?.
J Emina,N Kandala,J Inung,E Yyazoume (2011). Maternal Education and Child Nutritional Status in DRC.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Lasisi, Kazeem E. 2015. "Bayesian Regression Method with Gaussian and Binomial Links for the Analysis of Nigerian Children Nutritional Status (Stunting)". Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 15 (GJSFR Volume 15 Issue F4).

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GJSFR Volume 15 Issue F4

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-F Classification MSC 2010: 60G15

05A10

Submission ReceivedApril 19, 2015
Peer Review Double Blind
Handling Editor
Accepted May 10, 2015
Published May 20, 2015

Version of record

v1.2

Issue date

June 4, 2015

Language

English

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Article Matrices

Total Score: 148

Country: Nigeria

Subject: Global Journal of Science Frontier Research

Authors: Lasisi, Kazeem E S.C, Abdulhamid, B.M. (PhD/Dr. count: 0)

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