Analysis with Stata, by John Thompson, is a compendium
of Stata user-written commands for Bayesian analysis.
It contains just enough
theoretical and foundational material to be useful to all levels
of users interested in Bayesian statistics, from neophytes to
Models for Categorical Dependent Variables Using Stata, Third
Edition, by J. Scott Long and Jeremy Freese, is an essential
reference for those who use Stata to fit and interpret
regression models for categorical data. Although regression
models for categorical dependent variables are common, few texts
explain how to interpret such models; this text decisively fills
to Time Series Using Stata, by Sean Becketti, is a
first-rate, example-based guide to time-series analysis and
forecasting using Stata. It can serve as both a reference for
practitioners and a supplemental textbook for students in
applied statistics courses.
Discovering Structural Equation Modeling Using Stata, Revised
Edition, by Alan C. Acock, successfully introduces both
the statistical principles involved in structural equation
modeling (SEM) and the use of Stata to fit these models. Acock
demonstrates how to fit a wide variety of models that fall
within the SEM framework and provides datasets that enable the
reader to follow along with each example.
A Visual Guide
to Stata Graphics, Third Edition, by Michael N.
Mitchell, is a complete guide to Stata's graph and the
associated Graph Editor. Whether you want to tame graph, quickly find out how to produce a graphical
effect, master the Stata Graph Editor, or learn approaches that
can be used to construct custom graphs, this is the book to
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