Applied Mixed Models in Medicine - Couverture rigide

Brown, H.; Prescott, R.

Couverture rigide

ISBN 10 : 0471965545 ISBN 13 : 9780471965541

Editeur : John Wiley & Sons Ltd, 1999

Synopsis

Examining a method of statistical analysis often used for analyzing multi-stratified data, this volume takes a balanced view of mixed models by discussing some of the problems in their use and indicating where more conventional fixed effect models might be preferred.

A propos du livre

Présentation de l'éditeur

Provides a clear understanding of the application of mixed models, and describes the benefits to be gained from their use as well as the practical implications. Mixed models is becoming a popular method of statistical analysis used for analysing medical data, particularly in the pharmaceutical industry. This method often gives improvements over conventional fixed effect models, especially when data are unbalanced. Presently there is no other book covering the application of mixed models to clinical data, making this book essential reading for those involved in this subject.

Features include:

∗ Takes a balanced view of mixed models by discussing some of the problems in their use and indicates where more conventional fixed effect models might be preferred.

∗ Easily accessible to practitioners in any areas where mixed models are used, including medical statisticians and economists

∗ Illustrated with numerous medical examples which clearly demonstrate the application of the theory

∗ Extensive coverage of the underlying theory

∗ Devotes a complete chapter to the use of software procedures and macros to fit mixed models.

This title is aimed at medical, applied and bio–statisticians, along with teachers and students of advanced statistics courses in mixed models. The book is also suitable for medical scientists who need to understand the techniques used and the assumuptions which underpin their use.

Quatrième de couverture

Applied Mixed Models in Medicine is designed to give a clear understanding of the application of mixed models, which is becoming a popular method of stastistical analysis used for analysing medical data, particularly in the pharmaceutical industry. This method often gives improvements over conventional fixed effect models, especially when data are unbalanced. Presently there is no other book covering the application of mixed models to clinical data, making this book essential reading for those involved in this subject.
Features include:
∗ Takes a balanced view of mixed models by discussing some of the problems in their use and indicates where more conventional fixed effect models might be preferred.
∗ Easily accessible to practitioners in any areas where mixed models are used, including medical statisticians and economists
∗ Illustrated with numerous medical examples which clearly demonstrate the application theory
∗ Extensive coverage of the underlying theory
∗ Devotes a complete chapter to the use of software procedures and macros to fit mixed models
This title is aimed as medical, applied and bio–statisticians, along with teachers and students of advanced statistics courses in mixed models. The book is also suitable for medical scientists who need to understand the techniques used and the assumptions which underpin their use.

Détails de l'édition

• Éditeur: John Wiley & Sons Ltd
• Date d'édition: 1999
• Langue: anglais
• ISBN 10: 0471965545
• ISBN 13: 9780471965541
• Reliure: Relié
• Nombre de pages: 300
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible