Thank you!
Do you want a material specifically only for categorical variables? or a material on logistic regression?
Either way, I'd suggest a book called " Statistics for Business by authors: Anderson, Sweeney and Williams". A wonderful book indeed. Have fun
If you're familiar with logistic regression and need the SAS details these are good references:
UCLA, their annotated output is useful though a bit out of date:
And of course the documentation:
SAS/STAT(R) 9.2 User's Guide, Second Edition
Read up on the class statement and how it dummy code/effect code variables as this is a common source of errors.
Search logistic regression on lexjansen.com for many relevant papers.
My biggest suggestion is to find a set of data/analysis and figure out how to replicate it in SAS before doing your actual analysis on your data. It will save you many mistakes.
It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.
Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.