Models for Categorical Dependent Variables Using Stata, Third
Edition, by J. Scott Long and Jeremy Freese, shows how
to use Stata to fit and interpret regression models for
categorical data. The third edition is a complete rewrite of the
book. Factor variables and the margins command changed
how the effects o f variables can be estimated and interpreted
Begins shipping Sept. 8
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 implemented in the
teffects command available in Stata 13.
in Regression: Detection and Correction, by Robert L.
Kaufman, is an ideal reference for applied researchers who want
to understand the challenges posed by heteroskedasticity and
the ways to detect and address it. The discussions highlight
the advantages and warnings of the methods presented and
complements rigorous technical discussions using Stata examples
with do-files available online.
Data, by Joseph M. 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.
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