Results 11 to 20 of about 79,690 (134)
Goodness-of-fit tests and model diagnostics for negative binomial regression of RNA sequencing data. [PDF]
PLoS ONE, 2015 This work is about assessing model adequacy for negative binomial (NB) regression, particularly (1) assessing the adequacy of the NB assumption, and (2) assessing the appropriateness of models for NB dispersion parameters.
Gu Mi, Yanming Di, Daniel W Schafer
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Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression [PDF]
BMC Bioinformatics, 2019 Background Deep sequencing of transposon mutant libraries (or TnSeq) is a powerful method for probing essentiality of genomic loci under different environmental conditions.
Siddharth Subramaniyam +8 more
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The Negative Binomial regression
Southwest Respiratory and Critical Care Chronicles, 2015 Shengping Yang, Gilbert Berdine
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OVERDISPERSION HANDLING IN POISSON REGRESSION MODEL BY APPLYING NEGATIVE BINOMIAL REGRESSION
Barekeng, 2023 Statistical analysis that can be used if the response variable is quantified data is Poisson regression, assuming that the assumption must be met equidispersion, where the average response variable is the same as the standard deviation value.
Yesan Tiara +3 more
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POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF TUBERCULOSIS CASES IN JAVA
Barekeng, 2023 Tuberculosis is an infectious disease and one of the world's top 10 highest causes of mortality in Indonesia. Based on this fact, it is necessary to study what factors affect number of tuberculosis cases.
Yekti Widyaningsih +1 more
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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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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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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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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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