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Preface. 1. Stata and Stata Resources. 2. Data Management. 3. Graphs. 4. Summary Statistics and Tables. 5. ANOVA and other Comparison Methods. 6. Linear Regression Analysis. 7. Regression Diagnostics. 8. Fitting Curves. 9. Robust Regression. 10. Logistic Regression. 11. Survival and Event-Count Models. 12. Principal Components, Factor, and Cluster Analysis. 13. Time Series Analysis. 14. Survey Data Analysis. 15. Multilevel and Mixed-Effects Modeling. 16. Introduction to Programming. References. Index.