Evaluation of negative binomial and zero-inflated negative binomial models for the analysis of zero-inflated count data: application to the telemedicine for children with medical complexity trial [PDF]
Trials, 2023 Background Two characteristics of commonly used outcomes in medical research are zero inflation and non-negative integers; examples include the number of hospital admissions or emergency department visits, where the majority of patients will have zero ...
Kyung Hyun Lee +4 more
doaj +6 more sources
Bayesian Zero-Inflated Negative Binomial Regression Based on Pólya-Gamma Mixtures [PDF]
Bayesian Analysis, 2019 Motivated by a study examining spatiotemporal patterns in inpatient hospitalizations, we propose an efficient Bayesian approach for fitting zero-inflated negative binomial models. To facilitate posterior sampling, we introduce a set of latent variables that are represented as scale mixtures of normals, where the precision terms follow independent Pólya-
Brian Neelon
exaly +6 more sources
Marginalized zero-inflated negative binomial regression with application to dental caries. [PDF]
Stat Med, 2016 The zero‐inflated negative binomial regression model (ZINB) is often employed in diverse fields such as dentistry, health care utilization, highway safety, and medicine to examine relationships between exposures of interest and overdispersed count outcomes exhibiting many zeros.
Preisser JS, Das K, Long DL, Divaris K.
europepmc +7 more sources
Estimation Parameters And Modelling Zero Inflated Negative Binomial [PDF]
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2016 Regression analysis is used to determine relationship between one or several response variable (Y) with one or several predictor variables (X). Regression model between predictor variables and the Poisson distributed response variable is called Poisson ...
Cindy Cahyaning Astuti +1 more
doaj +2 more sources
Robust inference in the multilevel zero-inflated negative binomial model. [PDF]
J Appl Stat, 2020 A popular way to model correlated count data with excess zeros and over-dispersion simultaneously is by means of the multilevel zero-inflated negative binomial (MZINB) distribution. Due to the complexity of the likelihood of these models, numerical methods such as the EM algorithm are used to estimate parameters.
Zandkarimi E +4 more
europepmc +3 more sources
Analyzing ingrowth using zero-inflated negative binomial models [PDF]
Silva Fennica, 2020 Ingrowth is an important element of stand dynamics in several silvicultural systems, especially in continuous cover forestry. Earlier predictive models for ingrowth in Finnish forests are few and not based on up-to-date statistical methods.
Lappi, Juha, Pukkala, Timo
doaj +2 more sources
A bivariate zero-inflated negative binomial model and its applications to biomedical settings. [PDF]
Stat Methods Med Res, 2023 S ummary The zero-inflated negative binomial (ZINB) distribution has been widely used for count data analyses in various biomedical settings due to its capacity of modeling excess zeros and overdispersion.
Cho H, Liu C, Preisser JS, Wu D.
europepmc +4 more sources
PERFORMA PROPORSI ZERO-INFLATION PADA REGRESI ZERO-INFLATED NEGATIVE BINOMIAL
E-Jurnal Matematika, 2019 Tetanus Neonatorum (TN) is an infectious disease that could be prevented by immunization. East Java Province is the highest numbers of TN case in Indonesia. TN data in East Java contain overdispersion and big proportion of zero-inflation (71,05%).
LUTHFATUL AMALIANA +2 more
doaj +2 more sources
On a Characterization of Zero-Inflated Negative Binomial Distribution
Open Journal of Statistics, 2015 Zero-inflated negative binomial distribution is characterized in this paper through a linear differential equation satisfied by its probability generating function.
R. Suresh +3 more
exaly +3 more sources
On estimation and influence diagnostics for zero-inflated negative binomial regression models
Computational Statistics and Data Analysis, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aldo M Garay +2 more
exaly +3 more sources