Generalized Linear Models with Stata From OLS to maximum likelihood Comparing OLS and ML Estimation Post-estimation commands for regression models: listcoef Binary and categorical outcomes Logistic Regression: Model Fitting, Diagnosis, and Predicted Probabilites Multinomial Logistic Regression: mlogit, mlogtest Ordinal Logistic Regression: ologit, omodel, oparallel, gologit2 Count outcomes Poisson Regression: poisson, nbreg, zip, countfit Interpreting the models Calculating marginal effects: margins, marginsplot, and mchange commands Clustered and repeated data Multilevel Mixed-Effects Linear Regression: mixed Longitudinal Modeling with Fixed and Random Effects: xtreg Causal inference designs Propensity Score Matching: psmatch2, teffects Instrumental Variables Regression: ivregress, ivreg2 Mediation Analysis with medsem in Stata Survey data Understanding and Implementing Survey Weights in Stata