Number of antenatal care visits and associated factors among reproductive age women in Sub-Saharan Africa using recent demographic and health survey data from 2008-2019: A multilevel negative binomial regression model. [PDF]
PLOS Glob Public Health, 2022 Gebeyehu FG +3 more
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Negative binomial factor regression with application to microbiome data analysis [PDF]
Statistics in Medicine, 2021 Abstract The human microbiome provides essential physiological functions and helps maintain host homeostasis via the formation of intricate ecological host‐microbiome relationships. While it is well established that the lifestyle of the host, dietary preferences, demographic background, and health status can influence microbial ...
Aditya K. Mishra, Christian L. Müller
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Lognormal and Gamma Mixed Negative Binomial Regression. [PDF]
Proc Int Conf Mach Learn, 2012 In regression analysis of counts, a lack of simple and efficient algorithms for posterior computation has made Bayesian approaches appear unattractive and thus underdeveloped. We propose a lognormal and gamma mixed negative binomial (NB) regression model for counts, and present efficient closed-form Bayesian inference; unlike conventional Poisson ...
Zhou M, Li L, Dunson D, Carin L.
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Journal of MathematicsThe negative binomial regression model (NBRM) is popular for modeling count data and addressing overdispersion issues. Generally, the maximum likelihood estimator (MLE) is used to estimate the NBRM coefficients. However, when the explanatory variables in
Bushra Ashraf +4 more
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Marginal modeling in community randomized trials with rare events: Utilization of the negative binomial regression model. [PDF]
Clin Trials, 2022 Background/aims This work is motivated by the HEALing Communities Study, which is a post-test only cluster randomized trial in which communities are randomized to two different trial arms.
Westgate PM +5 more
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Bayesian negative binomial regression with spatially varying dispersion: Modeling COVID-19 incidence in Georgia. [PDF]
Spat Stat, 2022 Mutiso F +5 more
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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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The Negative Binomial regression
Southwest Respiratory and Critical Care Chronicles, 2015 Shengping Yang, Gilbert Berdine
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Jambura Journal of MathematicsThe Bivariate Zero-Inflated Negative Binomial (BZINBR) regression model is commonly used to analyze two correlated count response variables characterized by overdispersion and excess zeros.
Mawadah Putri Islamiati +2 more
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Count Data in Medical Research: Poisson Regression and Negative Binomial Regression
Anesthesia & Analgesia, 2021 Schober, Patrick, Vetter, Thomas R.
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