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HIV Testing Decision and Determining Factors in Ghana 预览
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作者 Abdul-Karim Iddrisu Kwaku Opoku-Ameyaw +2 位作者 Francis Kwame Bukari Bashiru Mahama Jerry John Amaasende Akooti 《艾滋病(英文)》 2019年第2期85-104,共20页
Knowledge on individual’s HIV/AIDS status provides a tool to reduce or avoid HIV transmission, spread and mortalities due to HIV-related illness. However, most people still do not know their HIV status because they a... Knowledge on individual’s HIV/AIDS status provides a tool to reduce or avoid HIV transmission, spread and mortalities due to HIV-related illness. However, most people still do not know their HIV status because they are not willing to test for HIV/AIDS due to various reasons. Hence the aim of this paper is to investigate the effects of various risk factors that are likely to influence decision to ever test for HIV/AIDS. The data used in this paper were obtained from the Ghana Demographic and Health Survey (n = 1828 observations and 32 risk factors). We applied the Chi-Square test statistic and the logistic regression model to the data in order to study the effects of these risk factors on one’s decision to ever test for HIV. STATA version 14.1 and R version 3.5.2 were used to carry out the statistical analyses. Generally, the results show that education, especially higher education significantly (OR = 0.53, 95% = 0.230, 0.837) increases the likelihood to ever test for HIV. Also, the younger the age groups the higher the effect and significance in the likelihood to ever test for HIV. We found that HIV-TB co-infection (OR = 0.53, 95% = 0.165, 0.893), use of condom anytime one has sex (OR = 0.31, 95% = 0.054, 0.573), wealth index (OR = 0.46, 95% = 0.137, 0.791), awareness of HIV transmission during child-delivery, number of partners significantly affect HIV testing. Those with many partners are less likely (OR = -0.26, 95% = -0.504, -0.007) to ever test for HIV and those who know that healthy person may have HIV are more likely (OR = 0.41, 95% = 0.137, 0.679) to ever test for HIV. Age is the common significant risk factor of ever tested for HIV across the 10 regions in Ghana. Resources should be allocated for more education on these significant risk factors in order to help in the fight against HIV-Health related issues. 展开更多
关键词 AIDS CHI-SQUARE Test Statistic Ghana DEMOGRAPHIC and Health Survey HIV HIV-TB CO-INFECTION LOGISTIC Regression Model Risk Factors
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Chi-square Distribution as a Research Tool, and Some of Its Most Important Parametric and Non-parametric Applications 预览
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作者 Athanasios Vasilopoulos 《美中经济评论:英文版》 2014年第11期688-703,共16页
关键词 应用 参数化 非参数方法 工具 权利要求 研究人员
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Maximum Entropy Empirical Likelihood Methods Based on Bivariate Laplace Transforms and Moment Generating Functions 预览
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作者 Andrew Luong 《统计学期刊(英文)》 2018年第2期264-283,共20页
Maximum Entropy Empirical Likelihood (MEEL) methods are extended to bivariate distributions with closed form expressions for their bivariate Laplace transforms (BLT) or moment generating functions (BMGF) without close... Maximum Entropy Empirical Likelihood (MEEL) methods are extended to bivariate distributions with closed form expressions for their bivariate Laplace transforms (BLT) or moment generating functions (BMGF) without closed form expressions for their bivariate density functions which make the implementation of the likelihood methods difficult. These distributions are often encountered in joint modeling in actuarial science and finance. Moment conditions to implement MEEL methods are given and a bivariate Laplace transform power mixture (BLTPM) is also introduced, the new operator generalizes the existing univariate one in the literature. Many new bivariate distributions including infinitely divisible(ID) distributions with closed form expressions for their BLT can be created using this operator and MEEL methods can also be applied to these bivariate distributions. 展开更多
关键词 BIVARIATE Power Mixture Operator Laplace Transform COPULAS CHI-SQUARE Test Statistics BIVARIATE NORMALITY Infinite DIVISIBILITY Empirical Likelihood
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