Comparison of statistical models used for assessing factors associated with infant mortality in Nigeria
Ann. Health Res. (Onabanjo Univ. Teach. Hosp.)
; 2(1): 37-43, 2016.
Article
in English
| AIM (Africa)
| ID: biblio-1258788
Responsible library:
CG1.1
ABSTRACT
Background:
Infant mortality is a public health concern especially in developing countries, particularly Nigeria. Different models had been used independently to identify factors associated with infant mortality. Some of the used models sometimes violate the underlying assumption for the models. This study was designed to compare the models that have been previously used and identify the appropriate model using standard model selection criteria to analyse risk factors for infant mortality in Nigeria.Methods:
The study utilised 2008 Nigeria Demographic and Health Survey (NDHS) data with a sample size of 7107. The NDHS was a stratified two-stage cluster design where a questionnaire was used to collect data on the birth history of women aged 15-49 years. The models employed for this study were Logit, Probit and Clog-log. The model selection criteria were Akaike Information Criterion (AIC), Residual Deviance and Vuong test. The model with the smallest criteria was considered to be the best fit.Results:
The results showed that Infant Mortality in Nigeria can be appropriately modelled by Clog-log model. The models and corresponding AIC values were Logit (6171.1), Probit (6212.6) and Clog-log (6126.6). The residual deviance included Logit (6135.1), Probit (6176.6) and Clog-log (6090.6). Clog-log had the smallest AIC and residual deviance values; hence, it was of the best fit. Home delivery and delivery by professionals had negative significant associations with infant mortality while women's education (primary/no education) and birth order had positive significant association, (p < 0.05).Conclusion:
The best model for infant mortality evaluation in Nigeria was Clog-log. Generally, improved women's education would significantly reduce Infant Mortality in Nigeria
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Health context:
SDG3 - Health and Well-Being
Health problem:
Target 3.2: Reduce avoidable death in newborns and children under 5
Database:
AIM (Africa)
Main subject:
Infant Mortality
/
Health Education
/
Risk Factors
/
Health Surveys
/
Models, Statistical
/
Cause of Death
/
Nigeria
Type of study:
Etiology study
/
Prognostic study
/
Risk factors
Country/Region as subject:
Africa
Language:
English
Journal:
Ann. Health Res. (Onabanjo Univ. Teach. Hosp.)
Year:
2016
Document type:
Article