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Stata is a command-based statistical package that offers a lot of flexibility for data analysis by manipulating different command options. The syntax is easy to learn and sessions can be saved using "log" and "do" files.

**Where can I find Stata?**

Stata 14 is available in the DataLab (tisch library), Eaton Lab and on the collaborative workstation computers and Room 224 in Tisch Library.

- Resources for Learning StataOfficial Stata resources and user-contributed learning aids
- Stata Youtube ChannelOfficial Stata Youtube channel.
- Carolina Population Center Stata TutorialProvides examples of syntax for managing and analyzing data in Stata.
- UCLA Stata TutorialOne of the most comprehensive online resources for learning Stata. Covers a range of topics from basic data management to more sophisticated analytical techniques.
- Princeton Online Stata TutorialThe goal of this tutorial is to get students started in data analysis using Stata. These pages are meant to be basic tools to help you in your research. The commands presented here are in their basic format.
- South Africa Distance Learning ProjectHands on instruction in the analysis of survey data using Stata
- StatalistHosted at the Harvard School of Public Health, Statalist is an email listserver where over 5,100 Stata users from experts to neophytes maintain a lively dialogue about all things statistical and Stata.

- A Gentle Introduction to Stata, Revised Third Edition by Alan C. AcockCall Number: HA32 .A26 2012ISBN: 1597181099Publication Date: 2012-03-12A Gentle Introduction to Stata, Revised Third Edition is for people who need to learn Stata but who may not have a strong background in statistics or prior experience with statistical software packages. After working through this book, you will be able to enter, build, and manage a dataset, and perform fundamental statistical analyses. This book is organized like the unfolding of a research project. You begin by learning how to enter and manage data and how to do basic descriptive statistics and graphical analysis. Then you learn how to perform standard statistical procedures from t tests, nonparametric tests, and measures of association through ANOVA, multiple regression, and logistic regression. Readers who have experience with another statistical package may benefit more by reading chapters selectively and referring to this book as needed.
- An Introduction to Modern Econometrics Using Stata by Christopher F. BaumCall Number: HB141 .B38 2006ISBN: 1597180130Publication Date: 2006-08-17Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata. As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming.
- Event History Analysis with Stata by Hans-Peter Blossfeld; Gotz Rohwer; Katrin GolschCall Number: H61 .B492 2007ISBN: 0805860479Publication Date: 2007-02-02Event History Analysis with Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used statistical program that provides tools for data analysis. The book emphasizes the usefulness of event history models for causal analysis in the social sciences and the application of continuous-time models. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data, to data organization, to applications using the software, to the interpretation of results. The book also demonstrates, through example, how to implement hypotheses tests and how to choose the right model. The strengths and limitations of various techniques are emphasized in each example, along with an introduction to the model, details on how to input data, and the related Stata commands. Each application is accompanied by a brief explanation of the underlying statistical concept.
- Interpreting and Visualizing Regression Models Using Stata by Michael N. MitchellCall Number: QA278.2 .M57 2012ISBN: 9781597181075Publication Date: 2012-04-19Michael Mitchell's Interpreting and Visualizing Regression Models Using Statais 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. As an example, many experienced researchers start to squirm when asked to give a simple explanation of the applied meaning of interactions in nonlinear models such as logistic regression. The tools in Mitchell's book make this task much more enjoyable and comprehensible. Mitchell starts with simple linear regression (which is simple in all ways), and then adds polynomials and discontinuities. This is followed by 2-way and 3-way interaction until interpretation of coefficients through words is difficult. By careful use of Stata's marginsplotcommand, Mitchell shows how well graphs can be used to show effects. He also includes careful verbal interpretation of coefficients to make communications complete. He then extends the methods from linear regression to various types of nonlinear regression, such as multilevel or survival models. A significant difference between this book and most others on regression models is that Mitchell spends quite some time on fitting and visualizing discontinuous models' models where the outcome can change value suddenly at thresholds. Such models are natural in settings such as education and policy evaluation, where graduation or policy changes can make sudden changes in income or revenue. This book is a worthwhile addition to the library of anyone involved in statistical consulting, teaching, or collaborative applied statistical environments.
- Statistics with STATA by Lawrence C. HamiltonCall Number: QA 276.4 H358 2013ISBN: 9780840064639Publication Date: 2012-08-28For students and practicing researchers alike, STATISTICS WITH STATA Version 12 opens the door to the full use of the popular Stata program--a fast, flexible, and easy-to-use environment for data management and statistics analysis. Integrating Stata's impressive graphics, this comprehensive book presents hundreds of examples showing how you can apply Stata to accomplish a wide variety of tasks. Like Stata itself, STATISTICS WITH STATA will make it easier for you to move fluidly through the world of modern data analysis.

- Last Updated: Nov 10, 2024 8:37 PM
- URL: https://researchguides.library.tufts.edu/SocSciData
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