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

Amin Tohari; Nur Chamidah

doi:10.1088/1757-899X/546/5/052079

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

Amin Tohari, Nur Chamidah, Fatmawati

Research output: Contribution to journal › Conference article › peer-review

7 Citations (Scopus)

Abstract

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.

Original language	English
Article number	052079
Journal	IOP Conference Series: Materials Science and Engineering
Volume	546
Issue number	5
DOIs	https://doi.org/10.1088/1757-899X/546/5/052079
Publication status	Published - 1 Jul 2019
Event	9th Annual Basic Science International Conference 2019, BaSIC 2019 - Malang, Indonesia Duration: 20 Mar 2019 → 21 Mar 2019

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abstract = "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.",

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AU - Tohari, Amin

AU - Chamidah, Nur

AU - Fatmawati,

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N2 - 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.

AB - 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.

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T2 - 9th Annual Basic Science International Conference 2019, BaSIC 2019

Y2 - 20 March 2019 through 21 March 2019

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

Abstract

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