Proceedings of the International Conference on Mathematics, Geometry, Statistics, and Computation (IC-MaGeStiC 2021)

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Hurdle Regression Modelling on the Number of Deaths from Chronic Filariasis Cases in Indonesia

Authors
Nur Kamilah Sa’diyah*, Ani Budi Astuti, Maria Bernadetha T. Mitakda
Department of Statistics, Faculty of Mathematics and Natural Sciences, Brawijaya University
*Corresponding author. Email: nurkamilahs@student.ub.ac.id
Corresponding Author
Nur Kamilah Sa’diyah
Available Online 8 February 2022.
DOI
10.2991/acsr.k.220202.034How to use a DOI?
Keywords
Filariasis; MLE; Overdispersion; Hurdle regression
Abstract

Poisson regression is one of the model to explain the functional relationship between response variable in the form of count and predictor variable. An important assumption in Poisson Regression analysis is equidispersion. In certain cases, where response variable consists of too many zeros, causing the variance to be greater than the mean or called overdispersion that can be overcomed by the Hurdle model. Filariasis disease is caused by filaria worm that led to swelling of the limbs in humans. One province in Indonesia, Papua Barat, reported a quite high death of chronic filariasis cases with a death rate of 459 people. The Hurdle regression model is appropriately to model the number of cases of chronic filariasis death in Indonesia since the data contains overdispersion. This study will compared two regression Hurdle models, namely the Hurdle Poisson regression and Hurdle Negative Binomial Regression. The results showed that the Negative Binomial Hurdle regression model was better than that of the Hurdle Poisson regression model in modeling cases of filariasis in Indonesia with AIC value of 213.263. Based on logit model of Negative Binomial Regression, the percentage of households that have access to proper sanitation (X5 ) has a significant effect on the number of cases of death from chronic filariasis in Indonesia.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Mathematics, Geometry, Statistics, and Computation (IC-MaGeStiC 2021)
Series
Advances in Computer Science Research
Publication Date
8 February 2022
ISBN
10.2991/acsr.k.220202.034
ISSN
2352-538X
DOI
10.2991/acsr.k.220202.034How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

risenwbib
TY  - CONF
AU  - Nur Kamilah Sa’diyah
AU  - Ani Budi Astuti
AU  - Maria Bernadetha T. Mitakda
PY  - 2022
DA  - 2022/02/08
TI  - Hurdle Regression Modelling on the Number of Deaths from Chronic Filariasis Cases in Indonesia
BT  - Proceedings of the  International Conference on Mathematics, Geometry, Statistics, and Computation (IC-MaGeStiC 2021)
PB  - Atlantis Press
SP  - 178
EP  - 183
SN  - 2352-538X
UR  - https://doi.org/10.2991/acsr.k.220202.034
DO  - 10.2991/acsr.k.220202.034
ID  - Sa’diyah2022
ER  -