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**Safari Books Online** - brings you ebooks and videos from 200+ respected publishers, including O’Reilly, Pearson, Wiley, Packt, Harvard Business Review, and Wharton Digital Press.

**Why Stata?**

This **command-based** statistical packages offers a lot flexibility for data analysis by just altering a different command options or writing a do-file. Meanwhile, the program language keeps a simple structure, so **easy to learn** that the users can focus on the statistical modelling.

**Library**- MRC**Campus**- UCI's Virtual Computing Lab (VCL) and check the Computer Lab Software List

- Princeton Stata TutorialThe Princeton Stata Tutorial is up-to-date to the most
**recent Stata version**. This tutorial covers interface introduction, data management, graphics and programming, excellent for newbies. - Stata for Applied EconometricsSupplements for Applied Econometrics in UIUC. Cover Stata introduction and its application to many basic econometrics topics.
- STATA Learning ModulesUCLA Institute for Digital Research & Education provides several learning modules for performing basic STATA functions.

- STATA Journal
publishes peer-reviewed articles that help readers comprehend and apply cutting-edge statistical methods to their research.**The Stata Journal** - STATA DocumentationBase manuals plus reference manuals for Data Management, Graphics, Functions, and several specific statistics Longitudinal Data, Multilevel Mixed Effects, Multiple Imputation, Multivariate Statistics, Power and Sample-Size, Structural Equation Modeling, Survey Data, Survival Analysis, Time Series, and Treatment Effects. Programming reference manuals also available.

- Data Analysis Using Stata, Third Edition by Ulrich Kohler; Frauke KreuterCall Number: Science Library QA276.4 .K63 2012ISBN: 1597181102Publication Date: 2012-08-20Data Analysis Using Stata, Third Editionis a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks. The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand. Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.
- Handbook of Statistical Analyses Using Stata by Sophia Rabe-Hesketh; Brian S. EverittCall Number: Science Library QA276.4 .R33 2007ISBN: 1584887567Publication Date: 2006-11-15With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many new features of Stata, including a new command for mixed models and a new matrix language. Each chapter describes the analysis appropriate for a particular application, focusing on the medical, social, and behavioral fields. The authors begin each chapter with descriptions of the data and the statistical techniques to be used. The methods covered include descriptives, simple tests, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude with several exercises based on data sets from different disciplines. A concise guide to the latest version of Stata, A Handbook of Statistical Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses and self-study.
- Multilevel and Longitudinal Modeling Using Stata, Third Edition (Volumes I and II) by Sophia Rabe-Hesketh; Anders SkrondalCall Number: Science Library QA278.6 .S57 2012ISBN: 9781597181082Publication Date: 2012-04-02This book examines Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables. Volume I covers continuous Gaussian linear mixed models and has nine chapters. The chapters are organized in four parts. Volume II discusses generalized linear mixed models for binary, categorical, count, and survival outcomes.
- Regression Models for Categorical Dependent Variables Using Stata, Second Edition by Jeremy Freese; J. Scott LongCall Number: Science Library QA278.2 .L66 2006ISBN: 1597180114Publication Date: 2005-11-15Although regression models for categorical dependent variables are common, few texts explain how to interpret such models. Regression Models for Categorical Dependent Variables Using Stata, Second Edition, fills this void, showing how to fit and interpret regression models for categorical data with Stata. The authors also provide a suite of commands for hypothesis testing and model diagnostics to accompany the book.

- Last Updated: Mar 13, 2023 3:22 PM
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