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
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A Bivariate Zero-Inflated Negative Binomial Model and Its Applications to Biomedical Settings [PDF]
Statistical Methods in Medical Research, 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.
Hunyong Cho, John S. Preisser
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Robust Inference in the Multilevel Zero-Inflated Negative Binomial Model [PDF]
Journal of Applied Statistics, 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.
Hossein Mahjub +2 more
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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
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New two parameter hybrid estimator for zero inflated negative binomial regression models [PDF]
Scientific ReportsThe zero-inflated negative binomial regression (ZINBR) model is used for modeling count data that exhibit both overdispersion and zero-inflated counts. However, a persistent challenge in the efficient estimation of parameters within ZINBR models is the ...
Fatimah A. Almulhim +5 more
doaj +2 more sources
Risk Factors Influencing Cyberbullying Perpetration Among Middle School Students in Korea: Analysis Using the Zero-Inflated Negative Binomial Regression Model [PDF]
International Journal of Environmental Research and Public Health, 2021 Chanhee Kim +2 more
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Distribution of clones among hosts for the lizard malaria parasite Plasmodium mexicanum [PDF]
PeerJ, 2021 Background Malaria parasites reproduce asexually, leading to the production of large numbers of genetically identical parasites, here termed a clonal line or clone.
Allison T. Neal
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Regression models for count data with excess zeros: A comparison using survey data [PDF]
Tutorials in Quantitative Methods for Psychology, 2023 Presence of excess zeros and the distributions are major concern in modeling count data. Zero inflated and hurdle models are regression techniques which can handle zero inflated count data.
Bhaskar, Adhin +3 more
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BMC Public Health, 2023 Background Choosing appropriate models for count health outcomes remains a challenge to public health researchers and the validity of the findings thereof.
A. F. Fagbamigbe +2 more
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Mathematics, 2022 This article presents the results of the implementation of a forecasting model, to predict the relief materials needed for assisting in decisions prior to natural disasters, thus filling a gap in the exploration of Generalized Linear Mixed Models (GLMM ...
Camila Pareja Yale +2 more
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