Regression with Count Data: Poisson and Negative Binomial Published 2021-02-15 Download video MP4 360p Recommendations 20:19 Understanding Generalized Linear Models (Logistic, Poisson, etc.) 16:41 Quasi-Poisson and negative binomial regression models 17:45 Negative Binomial & Zero-Inflated Models in R using Microbiome Data | Nutribiomes 18:37 Linear mixed effects models 05:01 Probability is not Likelihood. Find out why!!! 11:53 Zero-inflated Poisson (ZIP) regression 07:33 Introduction to the Negative Binomial Distribution 17:15 Logistic Regression in R, Clearly Explained!!!! 17:05 Poisson regression - clearly explained 11:07 Shapiro-Wilk test 06:12 Maximum Likelihood, clearly explained!!! 21:58 StatQuest: Principal Component Analysis (PCA), Step-by-Step 31:07 Poisson Regression Part II | Statistics for Applied Epidemiology | Tutorial 10 16:15 Understanding the glm family argument (in R) 05:24 GLM Intro - 1 - Linear Models vs. Generalized Linear Models Similar videos 15:18 NEGATIVE BINOMIAL REGRESSION FOR MODELLING COUNT DATA (AND POISSON REGRESSION) || MACHINE LEARNING 19:41 Negative Binomial Regression model | Statistical model| Count Data model 17:06 Zero inflated Poisson and negative binomial regression using SPSS extension (June 2023) 34:13 Poisson and negative binomial regression (2015; video 1) 20:34 Poisson and negative binomial regression with offset variable in SPSS (June 2019) 15:17 Count Data Models in Stata 11:01 Count Data Models in R 16:41 Poisson regression using Stata (June 2023) More results