Handbook of Statistical Analyses Using Stata, Second Edition

Handbook of Statistical Analyses Using Stata, Second Edition

  • Electronic book text
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Stata - the powerful statistical software package - has streamlined data analysis, interpretation, and presentation for researchers and statisticians around the world. Because of its power and extensive features, however, the Stata manuals are quite detailed and extensive.The Second Edition of A Handbook of Statistical Analyses using Stata describes the features of the latest version of Stata - Version 6 - in a concise, convenient format. It gives new users a head start on using the program and offers experienced users a quick reference. The authors illustrate how Stata can be used to apply a variety of statistical techniques, including regression, survival analysis, and principal components. They outline Stata's value in:modeling complex data from longitudinal studies or surveysanalyzing results from clinical trials or epidemiological studiesusing its powerful programming language to apply tailor-made analyses relatively simplyEach chapter deals with a particular data set, identifies the appropriate analysis for it, and includes a brief account of the statistical background of the technique applied. However, the primary focus is on using Stata 6 and interpreting results. As such, this text complements the Stata manuals, offering both an ideal introduction to the program and a handy reference - perfect as a supplementary text for a second course in statistics.show more

Product details

  • Electronic book text | 224 pages
  • Taylor & Francis Inc
  • Chapman & Hall/CRC
  • Philadelphia, PA, United States
  • Revised
  • 2nd Revised edition
  • 16 Tables, black and white
  • 1584888571
  • 9781584888574

Table of contents

A Brief Introduction to StataData Description and Simple InferenceMultiple RegressionAnalysis of Variance IAnalysis of Variance IILogistic RegressionGeneralized Linear ModelsAnalysis of Longitudinal Data IAnalysis of Longitudinal Data IISome EpidemiologySurvival Analysis Principal Components AnalysisMaximum Likelihood Estimationshow more