A Bayesian zero-inflated negative binomial regression model for the integrative analysis of microbiome data. [PDF]
Jiang S +5 more
europepmc +1 more source
Normalizing Metagenomic Hi-C Data and Detecting Spurious Contacts Using Zero-Inflated Negative Binomial Regression. [PDF]
Du Y, Laperriere SM, Fuhrman J, Sun F.
europepmc +1 more source
Count Data in Medical Research: Poisson Regression and Negative Binomial Regression
Schober, Patrick, Vetter, Thomas R.
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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]
Gebeyehu FG +3 more
europepmc +1 more source
Abstract This paper employs the random-effects negative binomial regression model (RENBM) to test the relationship between macroeconomic factors and the birth of new firms. The test is across countries and uses count data. We consider a sample of 135 panel-data observations, taken from 27 countries in the European Union (EU) during the period 2004 to ...
Salman, A. Khalik +2 more
openaire +2 more sources
Too many zeros and/or highly skewed? A tutorial on modelling health behaviour as count data with Poisson and negative binomial regression. [PDF]
Green JA.
europepmc +1 more source
openaire +1 more source
Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models. [PDF]
Farhadian M +3 more
europepmc +1 more source
Socio-demographic and environmental determinants of camel mortality in Somaliland's nomadic communities: A negative binomial regression analysis of the 2020 demographic and health survey. [PDF]
Hassan MA, Salih O.
europepmc +1 more source
Risk Factors Influencing Cyberbullying Perpetration among Middle School Students in Korea: Analysis Using the Zero-Inflated Negative Binomial Regression Model. [PDF]
Kang KI, Kang K, Kim C.
europepmc +1 more source

