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Modeling of HIV and AIDS in Indonesia Using Bivariate Negative Binomial Regression

机译:使用双变量负二项式回归印度尼西亚艾滋病毒和艾滋病的建模

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The problem of HIV and AIDS in Indonesia is a frightening health problem with a number of cases that tend to increase each year. The aim of this research is to model the number of HIV and AIDS cases in Indonesia using bivariate negative binomial regression approach. Bivariate negative binomial regression is a regression method for modeling a pair of response variables in the form of count data with negative binomial distribution and correlating to each other. This research uses secondary data from the ministry of health in 2017 about the number of HIV and AIDS cases in Indonesia. From the results of this research, we obtained the deviance value of 38.9197 which was used to describe the goodness of fit test.
机译:印度尼西亚的艾滋病毒和艾滋病问题是一种令人恐惧的健康问题,每年往往增加了许多案例。该研究的目的是使用双重阳性二项式回归方法来模拟印度尼西亚的艾滋病毒和艾滋病病例的数量。双组成的负二进制回归是一种回归方法,用于以计数数据的形式建模具有负二项式分布的响应变量,并彼此相关。本研究使用2017年卫生部的二级数据关于印度尼西亚艾滋病毒和艾滋病案件的数量。从本研究的结果,我们获得了38.9197的偏差值,用于描述适合测试的良善性。

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