Welcome to Stata Press®
Stata Press, a division of StataCorp
LP, publishes books, manuals, and journals about Stata
statistical software and about general statistics topics for
professional researchers of all disciplines. Stata Press
publications can be ordered online or by phone, fax, or email.
Regression 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 the void.
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.
Bayesian Analysis with Stata, by John Thompson, is a complete guide to using Stata 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 aficionados.
One Hundred Nineteen Stata Tips, Third Edition, by Nicholas J. Cox
and H. Joseph Newton, provides concise and insightful notes about
commands, features, and tricks that will help you obtain a deeper
understanding of Stata. The book comprises the co ntributions of the
Stata community that have appeared in the Stata Journal since 2003.
December 07–13, 2014
Introduction to Time Series Using Stata
by Sean Becketti
Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model
by Patrick Royston and Paul C. Lambert
Regression Models for Categorical Dependent Variables Using Stata, Third Edition
by J. Scott Long and Jeremy Freese
A Gentle Introduction to Stata, Fourth Edition
by Alan C. Acock
An Introduction to Modern Econometrics Using Stata
by Christopher F. Baum