Negative Binomial Regression Modeling to Analyze the Determinants of Infant Mortality in West Java Province
The Infant Mortality Rate (IMR) is an important indicator in assessing the quality of public health and the success of health programs in a region. Proper handling of factors that determine IMR is essential to reduce this number. The data used were 27 districts/cities in West Java in 2022 with predi...
| Published in: | Berkala Sainstek |
|---|---|
| Main Authors: | Firda Fadri, Ari Firmansyah, Victor Alesyus Erlanda |
| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Jember
2025-04-01
|
| Subjects: | |
| Online Access: | https://bst.jurnal.unej.ac.id/index.php/BST/article/view/53686 |
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)
by: M Al Haris, et al.
Published: (2022-06-01)
OVERDISPERSION HANDLING IN POISSON REGRESSION MODEL BY APPLYING NEGATIVE BINOMIAL REGRESSION
by: Yesan Tiara, et al.
Published: (2023-04-01)
by: Yesan Tiara, et al.
Published: (2023-04-01)
PENERAPAN REGRESI BINOMIAL NEGATIF UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON
by: PUTU SUSAN PRADAWATI, et al.
Published: (2013-09-01)
by: PUTU SUSAN PRADAWATI, et al.
Published: (2013-09-01)
PERBANDINGAN REGRESI BINOMIAL NEGATIF DAN REGRESI GENERALISASI POISSON DALAM MENGATASI OVERDISPERSI (Studi Kasus: Jumlah Tenaga Kerja Usaha Pencetak Genteng di Br. Dukuh, Desa Pejaten)
by: NI MADE RARA KESWARI, et al.
Published: (2014-08-01)
by: NI MADE RARA KESWARI, et al.
Published: (2014-08-01)
COMPARISON OF POISSON REGRESSION AND GENERALIZED POISSON REGRESSION IN MODELING THE NUMBER OF INFANT MORTALITY IN WEST JAVA 2022
by: Toha Saifudin, et al.
Published: (2025-01-01)
by: Toha Saifudin, et al.
Published: (2025-01-01)
Re-sampling Techniques in Count Data Regression Models
by: Zakariya Y. Algamal
Published: (2012-12-01)
by: Zakariya Y. Algamal
Published: (2012-12-01)
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)
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)
by: Restu Arisanti, et al.
Published: (2025-07-01)
POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA
by: Yekti Widyaningsih, et al.
Published: (2023-09-01)
by: Yekti Widyaningsih, et al.
Published: (2023-09-01)
Integrative Analysis of Spatial Heterogeneity and Overdispersion of Crime with a Geographically Weighted Negative Binomial Model
by: Jianguo Chen, et al.
Published: (2020-01-01)
by: Jianguo Chen, et al.
Published: (2020-01-01)
CONWAY-MAXWELL POISSON REGRESSION MODELING OF INFANT MORTALITY IN SOUTH SULAWESI
by: Oktaviana Oktaviana, et al.
Published: (2024-10-01)
by: Oktaviana Oktaviana, et al.
Published: (2024-10-01)
ZERO INFLATED POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF MEASLES CASE IN JAVA
by: Candra R. W. S Weni Utomo, et al.
Published: (2025-04-01)
by: Candra R. W. S Weni Utomo, et al.
Published: (2025-04-01)
A New Computational Algorithm for Assessing Overdispersion and Zero-Inflation in Machine Learning Count Models with Python
by: Luiz Paulo Lopes Fávero, et al.
Published: (2024-03-01)
by: Luiz Paulo Lopes Fávero, et al.
Published: (2024-03-01)
Poisson and Negative Binomial Regression Models Application to Model the Factors of Car Ownership in Akure, South West, Nigeria
by: Joseph O. Oyedepo, et al.
Published: (2016-09-01)
by: Joseph O. Oyedepo, et al.
Published: (2016-09-01)
A Novel Phylogenetic Negative Binomial Regression Model for Count-Dependent Variables
by: Dwueng-Chwuan Jhwueng, et al.
Published: (2023-08-01)
by: Dwueng-Chwuan Jhwueng, et al.
Published: (2023-08-01)
MODELING POVERTY IN WEST JAVA PROVINCE USING NEGATIVE BINOMIAL REGRESSION WITH PENALIZED SMOOTHLY CLIPPED ABSOLUTE DEVIATION
by: Vera Maya Santi, et al.
Published: (2025-09-01)
by: Vera Maya Santi, et al.
Published: (2025-09-01)
HANDLING OF OVERDISPERSION CASES IN MORBIDITY DATA IN SELUMA REGENCY
by: Mey Yanti Sarumpaet, et al.
Published: (2024-07-01)
by: Mey Yanti Sarumpaet, et al.
Published: (2024-07-01)
Early warning and predicting of COVID-19 using zero-inflated negative binomial regression model and negative binomial regression model
by: Wanwan Zhou, et al.
Published: (2024-09-01)
by: Wanwan Zhou, et al.
Published: (2024-09-01)
Spatial Modeling of leprosy disease in east java province with spatially varying regression coefficients models
by: Husnul Chotimah, et al.
Published: (2022-01-01)
by: Husnul Chotimah, et al.
Published: (2022-01-01)
Overdispersion study of poisson and zero-inflated poisson regression for some characteristics of the data on lamda, n, p
by: Lili Puspita Rahayu, et al.
Published: (2016-11-01)
by: Lili Puspita Rahayu, et al.
Published: (2016-11-01)
Predicting mosquito-borne disease outbreaks using poisson and negative binomial models: A comparative study
by: Abdullah Al-Manji, et al.
Published: (2025-11-01)
by: Abdullah Al-Manji, et al.
Published: (2025-11-01)
Model Generalized Poisson Regression (GPR) Pada Kasus Stunting Di Provinsi Nusa Tenggara Timur
by: Maria Febriana Lais, et al.
Published: (2023-08-01)
by: Maria Febriana Lais, et al.
Published: (2023-08-01)
A STUDY OF SMALL AREA ESTIMATION TO MEASURE MULTIDIMENSIONAL POVERTY WITH MIXED MODEL POISSON, ZIP, AND ZINB
by: Satria June Adwendi, et al.
Published: (2023-04-01)
by: Satria June Adwendi, et al.
Published: (2023-04-01)
Modeling zero inflation is not necessary for spatial transcriptomics
by: Peiyao Zhao, et al.
Published: (2022-05-01)
by: Peiyao Zhao, et al.
Published: (2022-05-01)
Using zero inflated models to analyze dental caries with many zeroes
by: Javali Shivalingappa, et al.
Published: (2010-01-01)
by: Javali Shivalingappa, et al.
Published: (2010-01-01)
Exploratory investigation of region level risk factors of Ebola Virus Disease in West Africa
by: Benjamin Levy, et al.
Published: (2018-11-01)
by: Benjamin Levy, et al.
Published: (2018-11-01)
A Modified Negative Binomial Distribution: Properties, Overdispersion and Underdispersion
by: Ghobad Barmalzan, et al.
Published: (2019-11-01)
by: Ghobad Barmalzan, et al.
Published: (2019-11-01)
Relative importance analysis for count regression models
by: Luchman, Joseph N.
Published: (2024-03-01)
by: Luchman, Joseph N.
Published: (2024-03-01)
A novel statistical modeling of air pollution and the COVID-19 pandemic mortality data by Poisson, geometric, and negative binomial regression models with fixed and random effects
by: İyit Neslihan, et al.
Published: (2023-08-01)
by: İyit Neslihan, et al.
Published: (2023-08-01)
Application of Deep Learning and Neural Network to Speeding Ticket and Insurance Claim Count Data
by: Jong-Min Kim, et al.
Published: (2022-06-01)
by: Jong-Min Kim, et al.
Published: (2022-06-01)
Analysis of the Flow of Offenders to the Metropolitan Region of Chile
by: Pablo Cadena-Urzúa, et al.
Published: (2024-07-01)
by: Pablo Cadena-Urzúa, et al.
Published: (2024-07-01)
PENERAPAN REGRESI ZERO INFLATED POISSON UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON (Studi Kasus: Ketidaklulusan Siswa SMA/MA dalam Ujian Nasional di Buleleng)
by: LUH KOMANG MARDIANI, et al.
Published: (2013-08-01)
by: LUH KOMANG MARDIANI, et al.
Published: (2013-08-01)
An Alternative Estimator for Poisson–Inverse-Gaussian Regression: The Modified Kibria–Lukman Estimator
by: Rasha A. Farghali, et al.
Published: (2025-03-01)
by: Rasha A. Farghali, et al.
Published: (2025-03-01)
MODELING LONGITUDINAL FLOOD DATA IN WEST SUMATRA USING THE GENERALIZED ESTIMATING EQUATION (GEE) APPROACH
by: Alfi Nur Nitasari, et al.
Published: (2024-10-01)
by: Alfi Nur Nitasari, et al.
Published: (2024-10-01)
Exploring the relationship between blood platelet and other components utilizing count regression: A cross‐sectional study in Bangladesh
by: Umme Honey, et al.
Published: (2024-08-01)
by: Umme Honey, et al.
Published: (2024-08-01)
ANALISIS FAKTOR PENYEBAB PENYAKIT TBC DI JAWA BARAT MENGGUNAKAN REGRESI BINOMIAL NEGATIF
by: Humaira Zeanova, et al.
Published: (2024-12-01)
by: Humaira Zeanova, et al.
Published: (2024-12-01)
Modeling Overdispersed Dengue Data via Poisson Inverse Gaussian Regression Model: A Case Study in the City of Campo Grande, MS, Brazil
by: Erlandson Ferreira Saraiva, et al.
Published: (2022-09-01)
by: Erlandson Ferreira Saraiva, et al.
Published: (2022-09-01)
Bühlmann's Credibility Model with Claims of Negative Binomial and 2-Poisson Distribution
by: Ikhsan Maulidi, et al.
Published: (2023-05-01)
by: Ikhsan Maulidi, et al.
Published: (2023-05-01)
Application of Poisson and negative binomials models to estimate the frequency of insurance claims
by: RINI OKTAVIA, et al.
Published: (2023-03-01)
by: RINI OKTAVIA, et al.
Published: (2023-03-01)
Accounting for Zero Inflation of Mussel Parasite Counts Using Discrete Regression Models
by: Emel Çankaya, et al.
Published: (2017-06-01)
by: Emel Çankaya, et al.
Published: (2017-06-01)
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) -
OVERDISPERSION HANDLING IN POISSON REGRESSION MODEL BY APPLYING NEGATIVE BINOMIAL REGRESSION
by: Yesan Tiara, et al.
Published: (2023-04-01) -
PENERAPAN REGRESI BINOMIAL NEGATIF UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON
by: PUTU SUSAN PRADAWATI, et al.
Published: (2013-09-01) -
PERBANDINGAN REGRESI BINOMIAL NEGATIF DAN REGRESI GENERALISASI POISSON DALAM MENGATASI OVERDISPERSI (Studi Kasus: Jumlah Tenaga Kerja Usaha Pencetak Genteng di Br. Dukuh, Desa Pejaten)
by: NI MADE RARA KESWARI, et al.
Published: (2014-08-01) -
COMPARISON OF POISSON REGRESSION AND GENERALIZED POISSON REGRESSION IN MODELING THE NUMBER OF INFANT MORTALITY IN WEST JAVA 2022
by: Toha Saifudin, et al.
Published: (2025-01-01)
