Too many zeros and/or highly skewed? A tutorial on modelling health behaviour as count data with Poisson and negative binomial regression [PDF]
Health Psychology and Behavioral Medicine, 2021 Background Dependent variables in health psychology are often counts, for example, of a behaviour or number of engagements with an intervention. These counts can be very strongly skewed, and/or contain large numbers of zeros as well as extreme outliers ...
James A Green
exaly +3 more sources
Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis [PDF]
Public Health, 2020 Lacin Idil Oztig, Oykum Esra Askin
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Bayesian Zero-Inflated Negative Binomial Regression Based on Pólya-Gamma Mixtures. [PDF]
Bayesian Anal, 2019 Motivated by a study examining spatiotemporal patterns in inpatient hospitalizations, we propose an efficient Bayesian approach for fitting zero-inflated negative binomial models.
Neelon B.
europepmc +3 more sources
Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression. [PDF]
BMC Bioinformatics, 2019 Deep sequencing of transposon mutant libraries (or TnSeq) is a powerful method for probing essentiality of genomic loci under different environmental conditions. Various analytical methods have been described for identifying conditionally essential genes
Subramaniyam S +9 more
europepmc +4 more sources
Perbandingan Regresi Binomial Negatif dan Regresi Conway-Maxwell-Poisson dalam Mengatasi Overdispersi pada Regresi Poisson [PDF]
Jurnal Gantang, 2017 Regresi Binomial Negatif dan regresi Conway-Maxwell-Poisson merupakan solusi untuk mengatasi overdispersi pada regresi Poisson. Kedua model tersebut merupakan perluasan dari model regresi Poisson.
Lusi Eka Afri
doaj +5 more sources
Delta Boosting Implementation of Negative Binomial Regression in Actuarial Pricing
Risks, 2020 This study proposes an efficacious approach to analyze the over-dispersed insurance frequency data as it is imperative for the insurers to have decisive informative insights for precisely underwriting and pricing insurance products, retaining existing ...
Simon CK Lee
doaj +2 more sources
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
Odds ratios from logistic, geometric, Poisson, and negative binomial regression models [PDF]
BMC Medical Research Methodology, 2018 Background The odds ratio (OR) is used as an important metric of comparison of two or more groups in many biomedical applications when the data measure the presence or absence of an event or represent the frequency of its occurrence.
Christopher J. Sroka +1 more
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Negative Binomial Regression [PDF]
Journal of the Royal Statistical Society Series A: Statistics in Society, 2008 Fiona McElduff
openalex +2 more sources
Robust Negative Binomial Regression via the Kibria–Lukman Strategy: Methodology and Application [PDF]
MathematicsCount regression models, particularly negative binomial regression (NBR), are widely used in various fields, including biometrics, ecology, and insurance.
Adewale F. Lukman +5 more
doaj +2 more sources