Comparison of Statistical Models Used for Assessing Factors Associated with Infant Mortality in Nigeria
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. Thi...
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| Format: | Article |
| Language: | English |
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Medical and Dental Consultants Association of Nigeria, OOUTH Sagamu
2016-06-01
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| Series: | Annals of Health Research |
| Subjects: | |
| Online Access: | http://www.annalsofhealthresearch.com/index.php/ahr/article/view/22 |
| _version_ | 1818824410436468736 |
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| author | Oritogun KS Oyewole OO Daniel OJ |
| author_facet | Oritogun KS Oyewole OO Daniel OJ |
| author_sort | Oritogun KS |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-18T23:55:26Z |
| format | Article |
| id | doaj.art-d7e8ab6c6bc64f4a9e655c74e2a6825e |
| institution | Directory Open Access Journal |
| issn | 2476-8642 2536-6149 |
| language | English |
| last_indexed | 2024-12-18T23:55:26Z |
| publishDate | 2016-06-01 |
| publisher | Medical and Dental Consultants Association of Nigeria, OOUTH Sagamu |
| record_format | Article |
| series | Annals of Health Research |
| spelling | doaj.art-d7e8ab6c6bc64f4a9e655c74e2a6825e2022-12-21T20:46:44ZengMedical and Dental Consultants Association of Nigeria, OOUTH SagamuAnnals of Health Research2476-86422536-61492016-06-01212743Comparison of Statistical Models Used for Assessing Factors Associated with Infant Mortality in NigeriaOritogun KS0Oyewole OO1Daniel OJ2Department of Community Medicine & Primary Care, Obafemi Awolowo College of Health Sciences, Olabisi Onabanjo University, Sagamu.Department of Physiotherapy, Olabisi Onabanjo University Teaching Hospital, Sagamu, Ogun State.Department of Community Medicine & Primary Care, Obafemi Awolowo College of Health Sciences, Olabisi Onabanjo University, Sagamu.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.http://www.annalsofhealthresearch.com/index.php/ahr/article/view/22Akaike’s Information CriterionInfant mortalityNigeria Demographic and Health SurveyResidual devianceVuong testStatistical model |
| spellingShingle | Oritogun KS Oyewole OO Daniel OJ Comparison of Statistical Models Used for Assessing Factors Associated with Infant Mortality in Nigeria Annals of Health Research Akaike’s Information Criterion Infant mortality Nigeria Demographic and Health Survey Residual deviance Vuong test Statistical model |
| title | Comparison of Statistical Models Used for Assessing Factors Associated with Infant Mortality in Nigeria |
| title_full | Comparison of Statistical Models Used for Assessing Factors Associated with Infant Mortality in Nigeria |
| title_fullStr | Comparison of Statistical Models Used for Assessing Factors Associated with Infant Mortality in Nigeria |
| title_full_unstemmed | Comparison of Statistical Models Used for Assessing Factors Associated with Infant Mortality in Nigeria |
| title_short | Comparison of Statistical Models Used for Assessing Factors Associated with Infant Mortality in Nigeria |
| title_sort | comparison of statistical models used for assessing factors associated with infant mortality in nigeria |
| topic | Akaike’s Information Criterion Infant mortality Nigeria Demographic and Health Survey Residual deviance Vuong test Statistical model |
| url | http://www.annalsofhealthresearch.com/index.php/ahr/article/view/22 |
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