in Stata: An Updated Collection from the Stata Journal, Second
Edition is a complete introduction and reference for
performing meta-analyses in Stata. Stata has some of the best
statistical tools available for doing meta-analysis. These
tools are all created by and documented by experts in the
broader research community who also happen to be proficient
Stata developers. Editors Tom Palmer and Jonathan Sterne show
how each of the articles in this collection relates and fits in
the overall literature of meta-analysis.
for the Behavioral Sciences, by Michael N. Mitchell, is
an easy-to-follow guide to analyzing data using Stata for
researchers in the behavioral sciences and a valuable addition
to the bookshelf of anyone interested in applying ANOVA methods
to a variety of experimental designs.
with Stata: A Retrospective is a sometimes serious and
sometimes whimsical retrospective of Stata, its development, and
its use over the last 30 years. The view from the inside opens
with an essay by Bill Gould, Stata's president and cofounder,
that discusses the challenges and concepts that guided the
design and implementation of Stata. The view from the outside
comprises 14 essays by prominent researchers and members of the
An Introduction to Medical Statistics, Fourth Edition, by
Martin Bland, is a great statistics text for students in the
medical sciences and an ideal self-study text for medical
practitioners. Rather than focusing heavily on formulas, the
text emphasizes understanding statistical principles and
interpreting the results.
Econometric Evaluation of Socio-Economic Programs, by
Giovanni Cerulli, provides an excellent introduction to
estimating average treatment effects from observational data.
This book provides thorough introductions to the models and
estimators implemented in teffects, etregress, and
etpoisson and provides many examples using these commands
and some similar commands written by the author.
Every installation of Stata includes all the documentation in PDF
format. Stata’s documentation consists of over 12,000 pages detailing
each feature in Stata including the methods and formulas and fully