Demonstrates how a wide variety of statistical analyses, including descriptive statistics, graphics, and model estimation and diagnostics, can be performed using Stata version 9. This book presents many of Stata's features, including a mixed-models estimation command and a matrix language.

A Brief Introduction to Stata. Data Description and Simple Inference: Female Psychiatric Patients. Multiple Regression: Determinants of Pollution in U.S. Cities. Analysis of Variance I: Treating Hypertension. Analysis of Variance II: Effectiveness of Slimming Clinics. Logistic Regression: Treatment of Lung Cancer and Diagnosis of Heart Attacks. Generalized Linear Models: Australian School Children. Summary Measure Analysis of Longitudinal Data: Treatment of Post-Natal Depression. Random Effects Models: Thought Disorder and Schizophrenia. Generalized Estimating Equations: Epileptic Seizures and Chemotherapy. Some Epidemiology. Survival Analysis: Retention of Heroin Addicts in Methadone Maintenance Treatment. Maximum Likelihood Estimation: Age of Onset of Schizophrenia. Principal Components Analysis: Hearing Measurement using an Audiometer. Cluster Analysis: Tibetan Skulls and Determinants of Pollution in U.S. Cities. Appendix. References. Index.

“…In this recent edition more exercises have been included at the end of each chapter. The exercises make use of data sets in the examples and further data sets that are downloadable from the Internet, giving the reader the opportunity to explore. The index is clear to follow and throughout the book there are plenty of references. The book is very accessible for the Stata novice or those requiring a concise summary of Stata’s functionality.” —Diane Berry (University College London), Journal of the Royal Statistical Society “…The book is clearly written and it provides a good introduction to the Stata language. … The book excels in giving very clear and concise descriptions of a number of important, modern statistical methodologies. …” —Michael Evans (University of Toronto), International Statistical Review, 2007 “Rabe-Hesketh and Everitt provide an authoritative overview of modern methods of applied statistics. … they cover the major methods of biostatistics together with explanations of how to perform these analyses using Stata. The authors also provide valuable references to other texts … The many examples and effective graphics add greatly to the value of this publication. … This book is well written and carefully copyedited. … owners of the [previous] editions would benefit from the updated material … a valuable overview of modern statistical methods. …” —The Stata Journal, Vol. 7, No. 2, 2007 "For Stata users who wish to keep up with the latest changes in the software, this handbook is an excellent reference." – Timothy J. Robinson, University of Wyoming, in Journal of the American Statistical Association, March 2008, Vol. 103, No. 481Praise for previous editions: “…a useful compendium of examples of Stata analyses and data management tricks…covers the gamut of major statistical applications, from the most basic to some quite sophisticated…extremely useful, well-written, and worth the price.” —The American Statistician “The book is very well written and is both an excellent introduction to Stata and a useful reference book on applied statistics. I would certainly recommend it to anybody interested in this package.” —Significance, December 2004 “… the handbook starts with a brief, but very useful, introduction to Stata including getting help with Stata, data management, writing simple programs, and how to keep Stata up to date. Particularly useful will be the introduction to the new graphics facilities which have changed out of all recognition from that available in previous versions. … The main strengths of this well-written and useful handbook lie in the broad range of statistical methods it covers and in the clear step-by-step examples.” —Statistics in Medicine