Handbook of Statistical Analyses Using Stata, Second Edition
Chapman & Hall/CRC (Publisher)
2nd Edition
Published on 17. May 2000
Book
Paperback/Softback
224 pages
978-1-58488-201-5 (ISBN)
Article exhausted; check for reprint
Description
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:
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.
More details
Edition
2nd New edition
Language
English
Other
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Statistical users of Stata, Undergraduates enrolled in applied statistics courses
Edition type
New edition
Illustrations
16 s/w Tabellen
16 Tables, black and white
Dimensions
Height: 229 mm
Width: 152 mm
Weight
308 gr
ISBN-13
978-1-58488-201-5 (9781584882015)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Brian S. Everitt | Sophia Rabe-Hesketh
Handbook of Statistical Analyses Using Stata, Third Edition
Book
12/2003
3rd Edition
Chapman & Hall/CRC
€63.32
Article exhausted; check for reprint
Previous edition
B. Everitt | Sophia Rabe-Hesketh
A Handbook of Statistical Analyses Using Stata
Book
02/1999
1st Edition
Chapman & Hall/CRC
€32.18
Article exhausted; check for reprint
Persons
Author
King's College, University of London, UK
University of California, Berkeley, USA
Content
A Brief Introduction to Stata
Data Description and Simple Inference
Multiple Regression
Analysis of Variance I
Analysis of Variance II
Logistic Regression
Generalized Linear Models
Analysis of Longitudinal Data I
Analysis of Longitudinal Data II
Some Epidemiology
Survival Analysis
Principal Components Analysis
Maximum Likelihood Estimation
Data Description and Simple Inference
Multiple Regression
Analysis of Variance I
Analysis of Variance II
Logistic Regression
Generalized Linear Models
Analysis of Longitudinal Data I
Analysis of Longitudinal Data II
Some Epidemiology
Survival Analysis
Principal Components Analysis
Maximum Likelihood Estimation