Tutorials in Biostatistics

Volume 2 Statistical Modelling of Complex Medical Data

R. B. D'Agostino

486 pages, parution le 16/11/2004

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Résumé

The Tutorials in Biostatistics series has become a very popular feature of the journal, Statistics in Medicine. The tutorials are accessible, self-contained and of a uniformly high quality. This book is the second of two volumes presenting the best tutorials published in the journal, focusing on statistical modelling of complex medical data. Topics include clustered data, hierarchical models, mixed models, genetic modelling, and meta-analysis. Each tutorial has been fully peer-reviewed and edited, and authored by leading researchers in biostatistics.

Presents a collection of tutorials in biostatistics, taken from the prestigious Wiley journal, Statistics in Medicine
Focuses on modelling of complex medical data, including clustered data, hierarchical models, mixed models, genetic modelling, and meta-analysis
Each tutorial has been fully peer reviewed and edited to ensure a high level of quality and to maintain the practical focus
Suitable for medical practitioners with a good understanding of statistics
Each tutorial has been authored by leading researchers in the field

The Tutorials in Biostatistics volumes provide an authoritative and readable introduction to a wide range of topics suitable for statisticians working in medical research, as well as statistically-minded clinicians, biologists, epidemiologists, and geneticists. Graduate students of biostatistics will find they make excellent reference volumes to support their study.

Sommaire

Preface
Preface to Volume 2
Modelling a single data set
Modelling multiple data sets: meta-analysis
Modelling genetic data: statistical genetics
Data reduction of complex data sets
Simplified presentation of multivariate data

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	R. B. D'Agostino
Parution	16/11/2004
Nb. de pages	486
Format	20,5 x 26,5
Couverture	Relié
Poids	1254g
Intérieur	Noir et Blanc
EAN13	9780470023709
ISBN13	978-0-470-02370-9