Simultaneous modeling of Binary Responses: A sequence of binary models and Ordinal multinomial with Bayesian estimates impacting HIV/AIDS

Autor: Ying Wang, Jeffrey R. Wilson, Adriana Dornelles, Di Fang
Rok vydání: 2020
Předmět:
DOI: 10.21203/rs.3.rs-19135/v1
Popis: Background: In this research, we examined several binary factors impact binary outcomes simultaneous and how the information of HIV/AIDS is perceived by the public is associated with outcomes to HIV/AIDS.Methods: We used polytomous responses through a sequence of binary models and a multinomial logistic regression model with Bayesian estimates to analyze the 2009 Mozambique survey data as it pertains to blood test, heard of HIV/AIDS and heard about campaign.Results: The analysis reveals that both heard about HIV and heard about the campaign are represented differentially in testing positive. Wealth, education and thinking of risk is positively associated with heard about HIV and heard about the campaign regardless of HIV. However, religious is a positive factor for social efforts of hearing of HIV/AIDS and the campaign. Both the polytomous response model and the ordinal model with model gave the same findings in regards to the marginal mean. However, the polytomous (conditional) models gave additional information about education.Conclusions: While knowledge of the disease continues to be important, the future social effort to combat HIV in Mozambique may need different strategies in different subpopulation groups.
Databáze: OpenAIRE