Updated to reflect Stata 11, this revised edition offers a complete and up-to-date survey of microeconometric methods available in Stata. The authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.
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Quantitative Methods
Statistics & Computing
Reference

Since 2003, the Stata Journal has included Stata Tips on special issues in data analysis with Stata. Seventy-six Stata Tips, 2nd Edition compiles these useful guides into a compact tome for ease of reference. In keeping with the Stata spirit, Tips are from Stata users and StataCorp employees alike and will serve as guideposts for both new and experienced users. Seventy-six Stata Tips includes the first 33 tips of the series, previously published in the book Thirty-three Stata Tips .
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Statistics & Computing
Reference

This work focuses on three types of Stata programming: do-file programming, ado-file programming, and Mata functions that work in conjunction with do- and ado-files. It explains how to usefully automate work with Stata and how to use Stata more effectively through programming on one or more of these levels. After presenting elementary concepts of the command-line interface and commonly used tools for working with programs and data sets, the text follows a unique format by offering "cookbook" chapters after each main chapter. These cookbook chapters look at how to perform a specific programming task with Stata and provide a complete solution to the problem.
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Statistics & Probability
Reference

This collection provides detailed descriptions of both standard and advanced meta-analytic methods and their implementation in Stata. Readers will gain access to the statistical methods behind the rapid increase in the number of meta-analyses reported in the social science and medical literature. The book shows how to conduct and interpret meta-analyses as well as produce highly flexible graphical displays. Using meta-regression, it examines reasons for between-study variability in effect estimates. The book also employs advanced methods for the meta-analysis of diagnostic test accuracy studies, dose-response meta-analysis, meta-analysis with missing data, and multivariate meta-analysis.
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Statistics & Computing
Reference

Using examples from a German longitudinal study, Data Analysis Using Stata provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. The book begins with an introduction to the Stata interface and then proceeds with a discussion of Stata syntax and simple programming tools like foreach loops. The core of the book includes chapters on producing tables and graphs, performing linear regression, and using logistic regression. The remainder of the book includes chapters on reading text files, writing programs and ado-files, and Internet resources, such as the search command and the SSC archive.
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Statistics & Probability
Statistical Theory & Methods
Statistics & Computing
Reference
Professional

The Workflow of Data Analysis Using Stata , by J. Scott Long, is an essential productivity tool for data analysts. Long presents lessons gained from his experience and demonstrates how to design and implement efficient workflows for both one-person projects and team projects. After introducing workflows and explaining how a better workflow can make it easier to work with data, Long describes planning, organizing, and documenting your work. He then introduces how to write and debug Stata do-files and how to use local and global macros. After a discussion of conventions that greatly simplify data analysis the author covers cleaning, analyzing, and protecting data.
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Statistics & Computing
Statistical Theory & Methods
Reference

This book focuses on the analyses used most often in health research. It covers various graph types, calculation commands, commands to modify data set structure, simple analyses of categorical and continuous variables, regression models, incidence and survival analysis, and measurement and diagnosis. This edition encompasses several of the new features in Stata 10, such as the Graph Editor and date-and-time variables, as well as a new section with exercises. The author stresses the importance of good documentation habits to prevent errors and wasting time. He also provides robust examples with downloadable data sets on the book’s website.
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Statistics for the Biological Sciences
Statistics & Computing
Statistics & Probability
Reference
Professional

Written by the developers of Stata’s widely used survival analysis suite, this book provides the foundation to understand various approaches for analyzing time-to-event data. The authors discuss how survival analysis estimators work and what information they exploit. They also present the syntax, features, and underpinnings of Stata’s survival analysis routines. This edition highlights the new aspects of Stata 10, including its power and sample-size calculations for survival data. Other updates include in-graph at-risk tables for Kaplan–Meier and related curves, survival analysis for survey data, and regression models with flexible functional forms via fractional polynomials.
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Statistics for the Biological Sciences
Statistics & Computing
Statistical Theory & Methods
Reference
Professional

With over 900 illustrated examples and quick-reference tabs, this guide shows you how to create and customize graphs for any type of statistical data using either Stata commands or the Graph Editor. The author displays each graph example in full color with simple and clear instructions. He demonstrates how to produce various types of graph elements, including marker symbols, lines, legends, captions, titles, axis labels, and grid lines. This thoroughly updated and expanded edition contains a new chapter that explains how to exploit the power of the new Graph Editor. It also includes additional examples and illustrates nearly every example with the Graph Editor.
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Statistics & Computing
Statistical Theory & Methods
Reference
Professional

Providing the basic collection of statistical procedures used by social scientists, A Gentle Introduction to Stata, Second Edition presents the fundamental tools to learn Stata. The book begins with showing how to enter and manage data as well as perform basic descriptive statistics and graphical analysis. It then examines standard statistical procedures from a t test, nonparametric tests, measures of association, multiple regression, and logical regression. The book ends with guidelines for future work and advanced topics. This learning source is an excellent introduction for those with little statistical software experience while also a useful reference for more knowledgeable statisticians by offering a detailed index of commands.
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Quantitative Methods
Statistics & Computing
Reference
Professional