Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression [PDF]
Genome Biology, 2019 Single-cell RNA-seq (scRNA-seq) data exhibits significant cell-to-cell variation due to technical factors, including the number of molecules detected in each cell, which can confound biological heterogeneity with technical effects.
Christoph Hafemeister, Rahul Satija
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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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Accurate inference in negative binomial regression
, 2020 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 on mean parameters.
Pagui, Euloge Clovis Kenne +2 more
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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 James Green
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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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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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