Logistic Regression

Instructor:  Paul D. Allison, author of Logistic Regression Using SAS and Survival Analysis Using SAS.

Sponsored by Statistical Horizons (www.statisticalhorizons.com)

Dates/Location:
May 21-22, 2008

Club Quarters Hotel, San Francisco

This is a comprehensive course on logistic regression analysis for binary dependent variables.  Topics include odds and odds ratios, maximum likelihood estimation, convergence failures, probit regression, ordered logistic regression, multinomial logit, GEE estimation, multilevel logistic regression, response-based sampling, Poisson and negative binomial regression, discrete choice models and longitudinal data. The course makes heavy use of several SAS procedures:  LOGISTIC, SURVEYLOGISTIC, GENMOD, NLMIXED and GLIMMIX.  No previous knowledge of logistic regression is necessary.  However, participants should be familiar with linear regression and basic principles of statistical inference.

For more information, visit us at www.StatisticalHorizons.com, e-mail us at allison@statisticalhorizons.com or call (610) 715-5702.