During a long history with a lot of people involved, Stata has grown and flourished. It seems, however, that the needs of the newcomer don't get the attention they deserve. I switched from SPSS to Stata three years ago, and I am happy now, but I still remember my initial troubles. Also, when...

The new Stata 8 graphics are powerful and flexible. Now, a few months after the first release, the graphics still have some shortcomings-both in design and in the manual documenting the program-but progress is being made. The graph layout used throughout the Graphics Reference Manual has led...

Christopher Baum's An Introduction to Stata Programming is worthwhile for anyone wanting to learn about programming in Stata. For the beginner, Baum assumes only that the user is familiar with Stata, and so he builds up accordingly. For the more advanced Stata programmer, the book introduces...

Meta-Analysis in Stata: An Updated Collection from the Stata Journal, edited by Jonathan A. C. Sterne, gathers all the Stata Journal articles about meta-analysis into one place. Interestingly, meta-analysis in Stata is one of Stata’s strengths, yet all the commands to implement it are...

Regression Models for Categorical Dependent Variables Using Stata, 2nd Edition, by J. Scott Long and Jeremy Freese, shows how to fit and interpret regression models for categorical data with Stata. Nearly 50% longer than the previous edition, the book covers new topics for fitting and...

A Visual Guide to Stata Graphics gives you a detailed guide to Stata's graphics capabilities in an easy-to-use format. From beginning to end, author Michael Mitchell demonstrates through step-by-step examples the most efficient methods to create even the most complicated graphs. It will be the...

This text is a Stata-specific treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" in the sense that they allow fixed and random effects and are "generalized" in the sense that they are appropriate not only for continuous...

Michael Mitchell’s Data Management Using Stata comprehensively covers data-management tasks, from those a beginning statistician would need to those hard-to-verbalize tasks that can confound an experienced user. Mitchell does this all in simple language with illustrative examples.

Microeconometrics Using Stata, Revised Edition, by A. Colin Cameron and Pravin K. Trivedi, is an outstanding introduction to microeconometrics and how to do microeconometric research using Stata. Aimed at students and researchers, this book covers topics left out of microeconometrics textbooks...

Michael Mitchell’s Data Management Using Stata comprehensively covers data-management tasks, from those a beginning statistician would need to those hard-to-verbalize tasks that can confound an experienced user. Mitchell does this all in simple language with illustrative examples.