Date(s) - 04/05/2019 - 04/06/2019
9:00 am - 5:00 pm
Temple University Center City
Professor Allison is the author of Logistic Regression Using SAS which is now in its second edition and has been cited more than 3900 times. This is a hands-on course with lots of exercises to help you master the material. Both SAS and Stata will be used for all examples and exercises.
Logistic regression is by far the most widely used statistical method for the analysis of categorical data. In this seminar, you’ll learn virtually everything you need to know to become a skilled user of logistic regression. We’ll cover the theory and practice of binary logistic regression in great detail including topics such as:
- odds and odds ratios
- maximum likelihood estimation
- interpretation of coefficients
- convergence failures
- goodness of fit
- contingency table analysis
- response-based sampling
If you need to analyze categorical outcomes and have a basic statistical background, this course is for you. You should have a good working knowledge of the principles and practice of linear regression, as well as elementary statistical inference.
The event is $995 dollar which includes all the course materials. To register for the event CLICK HERE.