Abstract
Background: The analysis of correlated responses obtained one at a time in survey data is not as informative or as useful as modeling them simultaneously. Simultaneous modeling allows for the opportunity to evaluate the system in a more pragmatic form rather than to allow for responses that assumedly originated in isolation. Methods: This research uses the Mozambique National Survey data to demonstrate the benefits of simultaneous modeling on blood test results, knowledge of HIV/AIDS, and awareness of an HIV/AIDS campaign. This simultaneous modeling also addresses the correlation inherent due to the hierarchical structure in the data collection. Results: Employment and self-perceived risk of HIV/AIDS have different impact on blood test, awareness of an HIV/AIDS campaign, and knowledge of HIV/AIDS when examined simultaneously as opposed to separate modeling. Conclusion: Simultaneous modeling of correlated responses improves the reliability of the estimates. More importantly, it provides an opportunity to engage in cost-saving decisions when designing future surveys and make better health policies.
Original language | English (US) |
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Article number | 70 |
Journal | Archives of Public Health |
Volume | 78 |
Issue number | 1 |
DOIs | |
State | Published - Jul 31 2020 |
Keywords
- Correlated
- Intraclass correlation
- Shared-parameter model
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
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Additional file 1 of HIV survey in Mozambique: analysis with simultaneous model in contrast to separate hierarchical models
Fang, D. (Contributor), Wilson, J. (Contributor) & Lang, A. (Contributor), figshare Academic Research System, Jan 1 2020
DOI: 10.6084/m9.figshare.12750143.v1, https://doi.org/10.6084%2Fm9.figshare.12750143.v1
Dataset
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HIV survey in Mozambique: analysis with simultaneous model in contrast to separate hierarchical models
Fang, D. (Creator), Lang, A. (Contributor) & Wilson, J. (Creator), Figshare, 2020
DOI: 10.6084/m9.figshare.c.5079953.v1, https://springernature.figshare.com/collections/HIV_survey_in_Mozambique_analysis_with_simultaneous_model_in_contrast_to_separate_hierarchical_models/5079953/1
Dataset
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HIV survey in Mozambique: analysis with simultaneous model in contrast to separate hierarchical models
Fang, D. (Creator), Lang, A. (Contributor) & Wilson, J. (Creator), Figshare, 2020
DOI: 10.6084/m9.figshare.c.5079953, https://springernature.figshare.com/collections/HIV_survey_in_Mozambique_analysis_with_simultaneous_model_in_contrast_to_separate_hierarchical_models/5079953
Dataset