Fang Di, Lang Anqi, Wilson Jeffrey R
Agribusiness, University of Arkansas, Fayetteville, USA.
School of Mathematics and Statistics, Arizona State University, Tempe, AZ USA.
Arch Public Health. 2020 Jul 31;78:70. doi: 10.1186/s13690-020-00453-8. eCollection 2020.
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.
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.
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.
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.
对调查数据中一次获取一个的相关反应进行分析,不如对它们进行同时建模那样信息丰富或有用。同时建模提供了以更实际的形式评估系统的机会,而不是允许那些假定孤立产生的反应。
本研究使用莫桑比克国家调查数据来证明对血液检测结果、艾滋病毒/艾滋病知识以及艾滋病毒/艾滋病宣传活动认知进行同时建模的益处。这种同时建模还解决了由于数据收集的层次结构而固有的相关性。
与单独建模相比,同时检查就业情况和自我感知的艾滋病毒/艾滋病风险时,它们对血液检测、艾滋病毒/艾滋病宣传活动认知以及艾滋病毒/艾滋病知识有不同影响。
对相关反应进行同时建模提高了估计的可靠性。更重要的是,它为在设计未来调查时做出节省成本的决策以及制定更好的卫生政策提供了机会。