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.
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.
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.
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.
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.
Every installation of Stata includes all the documentation in PDF
format. Stata’s documentation consists of over 11,000 pages detailing
each feature in Stata including the methods and formulas and fully