Zero-inflated negative binomial (ZINB) regression model for over-dispersed count data with excess zeros and repeated measures, an application to human microbiota sequence data

In many biomedical applications, count outcomes are fairly common and often these count data have a large number of zeros. Zero-inflated regression models are useful for analyzing such data. Moreover, the non-zero observations may be over-dispersed in relation to the Poisson distribution, biasing pa... View More