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Michael Mitchell’s Interpreting and Visualizing Regression Models, Using Stata is a clear treatment of how to carefully present results from model-fitting in a wide variety of settings. It is a boon to anyone who has to present the tangible meaning of a complex model in a clear fashion, regardless of the audience.

Multilevel and Longitudinal Modeling Using Stata, Third Edition, by Sophia Rabe-Hesketh and Anders Skrondal, is the most complete, up-to-date depiction of Stata’s capacity for fitting generalized linear mixed models. The authors provide an ideal introduction for Stata users wishing to learn about this powerful data analysis tool.

Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models, Second Edition, by Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, and Charles E. McCulloch is intended as a teaching text for a one-semester or two-quarter secondary statistics course in biostatistics.

A Short Introduction to Stata for Biostatistics, by Michael Hills and Bianca L. De Stavola, bridges the information gap between Stata’s Getting Started manual and Reference manuals by providing a more detailed introduction to the most often used analytic methods in biomedical research. The book is hands on, intended to be used while working with Stata, and includes a CD-ROM containing the datasets and several author-written programs.

Alan C. Acock’s A Gentle Introduction to Stata, Revised Third Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users not only will be able to use Stata well but also will learn new aspects of Stata easily.