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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.

Featured titles

cover 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. cover 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.
cover 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. cover 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.

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Best sellers

November 9–15, 2014

  1. A Gentle Introduction to Stata, Fourth Edition
    by Alan C. Acock
  2. Data Management Using Stata: A Practical Handbook
    by Michael N. Mitchell
  3. Regression Models for Categorical Dependent Variables Using Stata, Third Edition
    by J. Scott Long and Jeremy Freese
  4. Multilevel and Longitudinal Modeling Using Stata, Third Edition
    by Sophia Rabe-Hesketh and Anders Skrondal
  5. Bayesian Analysis with Stata
    by John Thompson