Abstract
Tetanus Neonatorum is an infectious disease that can be prevented by immunization. The number of Tetanus Neonatorum cases in East Java Province is the highest in Indonesia until 2015. Tetanus Neonatorum data contain over dispersion and big enough proportion of zero-inflation. Negative Binomial (NB) regression is an alternative method when over dispersion happens in Poisson regression. However, the data containing over dispersion and zero-inflation are more appropriately analyzed by using Zero-Inflated Negative Binomial (ZINB) regression. The purpose of this study are: (1) to model Tetanus Neonatorum cases in East Java Province with 71.05 percent proportion of zero-inflation by using NB and ZINB regression, (2) to obtain the best model. The result of this study indicates that ZINB is better than NB regression with smaller AIC.
| Original language | English |
|---|---|
| Article number | 012051 |
| Journal | Journal of Physics: Conference Series |
| Volume | 943 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 5 Feb 2018 |
| Event | 1st Ahmad Dahlan International Conference on Mathematics and Mathematics Education, AD-INTERCOMME 2017 - Daerah Istimewa Yogyakarta, Indonesia Duration: 13 Oct 2017 → 14 Oct 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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