Hurdle Regression Modelling on the Number of Deaths from Chronic Filariasis Cases in Indonesia
- 10.2991/acsr.k.220202.034How to use a DOI?
- Filariasis; MLE; Overdispersion; Hurdle regression
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.
- © 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
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 -