A Practical Guide to Logistic Regression Using Stata (Paperback, 1)

What we can do with logistic regression. Getting ready. Conventional ordinary least-squares regression versus logistic regression. Interpreting an odds ratio. What is wrong with ordinary least-squares regression for a binary outcome?. Fitting and interpreting logistic regression models. How well does the model fit the data?. Sensitivity and specificity. Receiver operating characteristic curves and cutpoints for screening tests. Predictions using the margins command. Graphic presentation using the marginsplot command. Curve fitting with quadratic models. Interaction. Running nestreg and postestimation commands. Special topics. A Appendix. References.