Applied Mixed Models in Medicine

Helen Brown, Robin Prescott - Collection Statistics in Practice

470 pages, parution le 27/04/2006 (2^eme édition)

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Résumé

Since the publication of the first edition the topic of mixed modelling has seen many developments, particularly regarding software and applications. There are now many more software options for applying mixed model methodology, and SAS has been updated to include powerful new techniques. Applications of mixed models have increased, notably in the areas of health research and epidemiology.

This new edition presents:

Presents an overview of the theory of mixed models applied to problems in medical research
Fully updated to include up-to-date references and developments.

Computer examples updated to the latest edition of SAS, and now includes more discussion of other software options

Includes many more examples using real data, including examples from health research and epidemiology
Includes a new section on missing data, and a serious update of the material on repeated measures
Supported by a Website featuring computer code, data sets, and further material

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Sommaire

Normal Mixed Models
Generalised Linear Mixed Models (GLMMs)
Mixed Models for Categorical Data
Multi-Centre Trials and Meta-Analyses
Repeated Measures Data
Cross-Over Trials
Other Applications of Mixed Models
Software for Fitting Mixed Models
Glossary
References
Contacts

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Helen Brown, Robin Prescott
Collection	Statistics in Practice
Parution	27/04/2006
Édition	2^eme édition
Nb. de pages	470
Format	15,5 x 23,5
Couverture	Relié
Poids	800g
Intérieur	Noir et Blanc
EAN13	9780470023563
ISBN13	978-0-470-02356-3