Handbook of Statistical Analyses Using Stata, Second Edition - Softcover

Everitt, Brian S.; Rabe-Hesketh, Sophia

 
9781584882015: Handbook of Statistical Analyses Using Stata, Second Edition

Synopsis

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 surveys
  • analyzing results from clinical trials or epidemiological studies
  • using its powerful programming language to apply tailor-made analyses relatively simply

    Each 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.
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    Review

    "The data sets are generally quite interesting and are available over the Internet. [Q]uite a nice resource in teaching an applications-oriented course." - The American Statistician "The book is very well written and is both an excellent introduction to Stats and a useful reference book on applied statistics. I would certainly recommend it to anybody interested in this package." - Significance, Dec. 2004 "[T]he handbook starts with a brief, but very useful, introduction to Stata including getting help with Stata, data management, writing simple programs and how to keep Stata up-to-date. Particularly useful will be the introduction to the new graphics facilities which have changed out of all recognition from that available in previous versions. The main strengths of this well-written and useful handbook lie in the broad range of statistical methods it covers and in the clear step-by-step examples." - Statistics in Medicine Praise for the previous editions: "will be especially useful for those readers who have some experience with the Stata language and basic programming and who appreciate examples as a means to work their way through statistical techniquesthis book contains a lot of useful and practical information on how to carry out statistical analyses in Stata 8. Readers should be able to follow the mix of challenging programming tools and advanced data analysis techniques after working through the introductory chapters." Journal of Statistical Software, Vol. 11, 2004 "a useful compendium of examples of Stata analyses and data management trickscovers the gamut of major statistical applications, from the most basic to some quite sophisticatedextremely useful, well-written, and worththe price." -The American Statistician "nicely structuredgives a clear and complete explanation of the way statistical methods can help one gain a better understanding of collected data." --Statistical Methods in Medical Research" well written and nicely organized. a succinct and pleasant introduction to the software... this book provides an excellent, interesting, and efficient introduction to Stata that I can easily recommend." -Technometrics "Anyone wanting to get a quick idea of what Stata is like or to start learning Stata would find this book very helpful shows concisely many of the characteristic idioms of Stata and much of its power and flexibility" -Biometrics

    Synopsis

    Explains the use of Stata 6, a general purpose statistical software package. Although brief accounts of the statistical background of techniques applied are included the primary focus is on the use of the program and interpreting results. Data sets examined include group comparison and correlations, the multiple regression model, analysis of varian

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