In this two day seminar, taught by Professor Paul Allison, you'll learn vitually everything you need to know to become a skilled user of these indispensible techniques. 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

We'll also cover more advanced topics including ordered logistic regression, multinomial logistic regression, discrete-choice analysis, and methods for analyzing longitudinal data (robust standard errors, GEE, fixed and random effects).

You'll learn the basic syntax and many options for the following Stata commands: logit, logistic, probit, cloglog, ologit, mlogit, clogit, xtlogit, xtmelogit, xtgee, glogit, exlogistic, firthlogit.