Handbook of Statistical Analyses Using Stata

Updated for version 8

Brian S. Everitt, Sophia Rabe-Hesketh

308 pages, parution le 23/01/2004 (3^eme édition)

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Résumé

Forms an outstanding introduction to using Stata version 8 and an ideal quick reference
Contains three new chapters on cluster analysis, generalized estimating equations, and random effects models
Reflects Stata 8's enhanced graphics capabilities
Provides all of the data sets on the Internet at both www.stata.com/textx/stas3 and www.iop.kcl.ac.uk/IoP/Departments/BioComp/stataBook.shtml

The powerful statistical software Stata has streamlined data analysis, interpretation, and presentation for researchers and statisticians around the world. But because of its power and plethora of features, particularly in version 8, Stata manuals are usually quite extensive and detailed.

The third edition of the Handbook of Statistical Analyses Using Stata describes the features of Stata version 8 in the same concise, convenient format that made the previous editions so popular. But the revisions updating the handbook to version 8 are not all this edition has to offer: the authors also added important material in three all-new chapters and focused more attention on Stata's improved graphical features.

More Highlights of the Third Edition

Updates in all chapters that reflect the features of Stata 8
A new chapter on random effects models
A new chapter on generalized estimating equations
A new chapter on cluster analysis
Increased emphasis on diagnostics

Each chapter deals with a particular data set, identifies the appropriate analysis for it, and while it includes a brief account of the statistical background of the technique applied, the primary focus remains firmly on using Stata 8 and interpreting its results. Ideal for researchers, statisticians, and students alike, this handbook forms a perfect complement to the Stata manuals, by giving new users a head start on using the program and providing experienced users with a handy quick reference.

L'auteur - Brian S. Everitt

Brian Everitt is Emeritus Professor of Statistics, King's College, London.

L'auteur - Sophia Rabe-Hesketh

University of California, Berkeley, USA

Sommaire

A brief introduction to stata
Data description and simple inference: female psychiatric patients
Multiple regression: determinants of pollution in U.S cities
Analysis of variance i: treating hypertension
Analysis of variance ii: effectiveness of slimming clinics
Logistic regression: treatment of lung cancer and diagnosis of heart attacks
Generalized linear models: Australian school children
Summary measure analysis of longitudinal data : the treatment of postnatal depression
Random effects models: thought disorder and schizophrenia
Generalized estimating equations: epileptic seizures and chemotherapy
Some epidemiology
Survival analysis: retention of heroin addicts in methadone maintenance treatment
Maximum likelihood estimation: age of onset of schizophrenia
Principal components analysis: hearing measurements using an audiometer
Cluster analysis: Tibetan skulls and air pollution in the USA
Appendix
References

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Chapman and Hall / CRC
Auteur(s)	Brian S. Everitt, Sophia Rabe-Hesketh
Parution	23/01/2004
Édition	3^eme édition
Nb. de pages	308
Format	15 x 23,5
Couverture	Broché
Poids	415g
Intérieur	Noir et Blanc
EAN13	9781584884040
ISBN13	978-1-58488-404-0