Results 11 to 20 of about 5,819,164 (256)
Double Generalized Beta-Binomial and Negative Binomial Regression Models [PDF]
Revista Colombiana de Estadística, 2017 Overdispersion is a common phenomenon in count datasets, that can greatly affect inferences about the model. In this paper develop three joint mean and dispersion regression models in order to fit overdispersed data.
EDILBERTO CEPEDA-CUERVO +1 more
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Improved estimation in negative binomial regression. [PDF]
Stat Med, 2022 Negative binomial regression is commonly employed to analyze overdispersed count data. With small to moderate sample sizes, the maximum likelihood estimator of the dispersion parameter may be subject to a significant bias, that in turn affects inference ...
Kenne Pagui EC, Salvan A, Sartori N.
europepmc +2 more sources
Multiple inflated negative binomial regression for correlated multivariate count data
Dependence Modeling, 2022 This article aims to provide a method of regression for multivariate multiple inflated count responses assuming the responses follow a negative binomial distribution.
Mathews Joseph +3 more
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Estimating Disease Risk Using Lorenz Curve and Negative Binomial Regression [PDF]
المجلة المصرية للسکـان وتنظيم الأسرة, 2004 The paper proposes a parametric approach to estimate the Lorenz curve and the Gini index in the context of describing exposure-disease association. Nonparametric bootstrap statistical inference method is employed for generating estimates of statistical ...
Ibrahim M. Abdallah
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BMC Medical Research Methodology, 2022 Background Hospital length of stay (LOS) is a key indicator of hospital care management efficiency, cost of care, and hospital planning. Hospital LOS is often used as a measure of a post-medical procedure outcome, as a guide to the benefit of a treatment
Gustavo A. Fernandez +1 more
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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
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Barekeng, 2022 Traffic accidents that always increase along with the increasing population growth and the number of vehicles impact the national economy. The number of traffic accidents is a count data that a Poisson distribution can approximate. The Poisson regression
M Al Haris, Prizka Rismawati Arum
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Differential expression analysis for sequence count data [PDF]
, 2010 *Motivation:* High-throughput nucleotide sequencing provides quantitative readouts in assays for RNA expression (RNA-Seq), protein-DNA binding (ChIP-Seq) or cell counting (barcode sequencing).
Simon Anders +2 more
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Results of negative binomial regression.
, 2022 Results of negative binomial regression.
Ashraf Simi (12256535) +8 more
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BMC Medical Research Methodology, 2023 Background Fractures are rare events and can occur because of a fall. Fracture counts are distinct from other count data in that these data are positively skewed, inflated by excess zero counts, and events can recur over time.
Anower Hossain +5 more
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