POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA
Tuberculosis is an infectious disease and one of the world's top 10 highest causes of mortality in Indonesia. Based on this fact, it is necessary to study what factors affect number of tuberculosis cases. The number of tuberculosis cases as dependent variable is a count data that generally anal...
Saved in:
| Main Authors: | Yekti Widyaningsih, Zalfa Alifah Budiawan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Pattimura
2023-09-01
|
| Series: | Barekeng |
| Subjects: | |
| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9082 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
NEGATIVE BINOMIAL REGRESSION AND GENERALIZED POISSON REGRESSION MODELS ON THE NUMBER OF TRAFFIC ACCIDENTS IN CENTRAL JAVA
by: M Al Haris, et al.
Published: (2022-06-01) -
GEOGRAPHICALLY WEIGHTED GENERALIZED POISSON REGRESSION AND GEOGRAPHICALLY WEIGHTED NEGATIVE BINOMIAL REGRESSION MODELING ON PROPERTY CRIME CASES IN CENTRAL JAVA
by: Prizka Rismawati Arum, et al.
Published: (2025-07-01) -
ANALYTICAL APPROACH OF GENERALIZED LINEAR MODELS FOR HANDLING OVERDISPERSION IN POVERTY DATA OF INDONESIA
by: Restu Arisanti, et al.
Published: (2025-07-01) -
Negative Binomial Regression Modeling to Analyze the Determinants of Infant Mortality in West Java Province
by: Firda Fadri, et al.
Published: (2025-04-01) -
OVERDISPERSION HANDLING IN POISSON REGRESSION MODEL BY APPLYING NEGATIVE BINOMIAL REGRESSION
by: Yesan Tiara, et al.
Published: (2023-04-01)