Date(s) - 12/04/2015 - 12/05/2015
Categories No Categories
Start Date: 12/4/2015
End Date: 12/5/2015
Temple University Center City
1515 Market Street
Taught by Paul D. Allison, Ph.D.
Logistic regression is by far the most widely used statistical method for the analysis of categorical data. In this seminar, youll learn virtually everything you need to know to become a skilled user of logistic regression. Well 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
Well also cover more advanced topics including ordered logistic regression, multinomial logistic regression, discrete-choice analysis, and methods for analyzing clustered data.
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.
Professor Allison is the author of Logistic Regression Using SAS which is now in its second edition and has been cited more than 2500 times.