In what he characterizes as a bridge for students and researchers between statistical textbooks and Stata's own documentation, Hamilton (U. of New Hampshire) neither provides the detailed exposition of a proper textbook nor describes all the software's features. He demonstrates how to accomplish a wide variety of statistical tasks, in chapters that focus on conceptual themes rather than particular commands. Among his topics are data management, graphs, summary statistics and tables, linear regression analysis, survival and event-count models, time series analysis, and multi-level and mixed-effects modeling. Last published in 2009. Annotation ⓒ2013 Book News, Inc., Portland, OR (booknews.com)

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