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cover The second edition of Propensity Score Analysis by Shenyang Guo and Mark W. Fraser is an excellent book on estimating treatment effects from observational data. New to the second edition are sections on multivalued treatments, generalized propensity-score estimators, and enhanced sections on propensity-score weighting estimators. Most of the examples in this book use Stata, and many of the estimators discussed in this new edition are impl emented in the -teffects- command available in Stata 13.
cover Modeling Count Data by Joseph Hilbe provides an introduction to analyzing count data. It is targeted at researchers who are new to modeling count data or who are trying to determine the best type of count-data model to use for a specific research problem.
cover The second edition of Linear Mixed Models: A Practical Guide Using Statistical Software, provides an excellent first course in the theory and methods of linear mixed models. Each chapter highlights a different software pa ckage and teaches you the basics of fitting mixed models therein. If you wish to fit linear mixed models, whether in Stata or elsewhere, we recommend this text.
cover Using Stata for Quantitative Analysis, Second Edition, by Kyle C. Longest, provides an excellent introduction to Stata for users who have never used statistical analysis software before. The book starts by describing Stata's graphical interface, how to import data from Microsoft Excel spreadsheets, and how to use the Data Editor. Subsequent chapters show how to obtain descriptive statistics, create do-files, manage data, produce graphs, and perform basic analyses using linear regression and analysis of variance.
cover Speaking Stata Graphics, by Nicholas J. Cox, is ideal for researchers who want to produce effective, publication-quality graphs. A compilation of articles from the popular “Speaking Stata” column by Cox, this book provides valuable insights about Stata's built-in and user-written statistical-graphics commands.

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