A Handbook of Statistical Analyses Using Stata
Language: English
Published by Taylor & Francis Group, 2000
- Softcover
- New

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pp. 224.
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- Title
- A Handbook of Statistical Analyses Using Stata
- Author
- Rabe-Hesketh S Rabe-Hesketh Sophia Everitt Brian S.
- Publisher
- Taylor & Francis Group
- Publication year
- 2000
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1584882018
- ISBN 13
- 9781584882015
- Edition
- 2nd Edition
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.
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:
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.
"Synopsis" may belong to another edition of this title.
Biblios
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