Handbook of Statistical Analyses Using Stata, Fourth Edition

Brian S. Everitt, Sophia Rabe-Hesketh

November 15, 2006 by Chapman and Hall/CRC
Reference - 354 Pages - 71 B/W Illustrations
ISBN 9781584887560 - CAT# C7567


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  • Demonstrates how a wide variety of statistical analyses, including descriptive statistics, graphics, and model estimation and diagnostics, can be performed using Stata
  • Features the new mixed-models estimation command xtmixed and the new matrix language Mata
  • Incorporates numerous examples that use real-life data to explain the applications of the methods described
  • Includes diverse data sets in many exercises as well as selected solutions in the appendix to build a better understanding of the methodology
  • Contains a solutions manual for qualifying course adoptions
  • Summary

    With 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.


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