Level: Intermediate
Clay Barker, JMP Principal Research Statistician Developer, SAS
Ruth Hummel, JMP Academic Ambassador, SAS
Generalized Regression — it sounds scary, but it's not. This platform in JMP Pro can handle most common linear modeling exercises. Need to find the best set of predictors in a sea of possibilities (i.e., variable selection)? This platform can do that. Need to model a categorical response with more than two levels? Generalized Regression can do that. Have problems with non-normal responses like count data or yield percentage? Where other modeling methods fall down with these responses, Generalized Regression handles them with ease. Censored data? Correlated predictors? Genreg can handle these too. If you're not using this platform, you're missing out. In this tutorial we will look at using Genreg to build models in a variety of settings: starting with an orthogonal designed experiment and moving to large observational data sets.
