Analyzing Non-Normal Data with Generalized Linear Models (GLMs)
Course Topics
In many applications, the response variable is not Normally distributed. GLM can be used to analyze data from various non-Normal distributions. In this short course, we will introduce two most common GLM models: Logistic Regression for binary (yes/no or 0/1) data and Poisson Model for count data. Examples of fitting GLM models using JMP and interpretation of outputs are also provided.
[video:https://vimeo.com/18923640]