Negative Binomial & Zero-Inflated Models in R using Microbiome Data | Nutribiomes

Zero-Inflated Negative Binomial Regression

Topic 20.2: Zero-inflated models

6840-11-04-3: 5.5 Zero-Inflated Count Models - Theory

Zero-Inflated Count Regression

Zero Inflated Model

pols6123-lesson304

PSY504-S24-Poisson, Neg Binom, Zero-inflated Models

6840-11-04-4: 5.5 Zero-Inflated Count Models - An example

Poisson Regression: Zero Inflation (Excessive Zeros)

New in Stata 15: Zero-inflated ordered probit models

Regression with Count Data: Poisson and Negative Binomial

Why Negative Binomial is used in DESeq2?

count model in R- software i.e. Poisson, negative binomial, zero-inflated and hurdle model.

Count Data Models in SAS

Characterizations of the Zero-Modified Negative Binomial Distribution

pols6123-lesson303

Statistical Methods Series: Zero-Inflated GLM and GLMM

Frequentist and Bayesian approach for the Zero-inflated Negative Binomial Regression Model

More Generalized Linear Models (GLM) in R: Poisson, Negative Binomial, and Zero-Inflated Models