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Medical applications of finite mixture models

Author: Peter Schlattmann
Publisher: [Berlin] : Springer-Verlag, ©2009.
Series: Statistics for biology and health.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
The book shows how to model heterogeneity in medical research with covariate adjusted finite mixture models. The areas of application include epidemiology, gene expression data, disease mapping, meta-analysis, neurophysiology and pharmacology.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Schlattmann, Peter.
Medical applications of finite mixture models.
Berlin : Springer, ©2009
(DLC) 2008941068
(OCoLC)319207898
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Peter Schlattmann
ISBN: 9783540686514 3540686517
OCLC Number: 318545670
Description: 1 online resource (x, 246 pages) : illustrations.
Contents: Introduction : heterogeneity in medicine --
Modeling count data --
Theory and algorithms --
Disease mapping and cluster investigations --
Modeling heterogeneity in psychophysiology --
Investigating and analyzing heterogeneity in meta-analysis --
Analysis of gene expression data.
Series Title: Statistics for biology and health.
Responsibility: Peter Schlattmann.

Abstract:

This book shows how to model heterogeneity in medical research with covariate adjusted finite mixture models. The areas of application include epidemiology, gene expression data, disease mapping,  Read more...

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From the reviews:"This book is intended as a resource for working statisticians, epidemiologists, pharmacokineticists and physicians. ... the material is most suitable for working (bio)statisticians Read more...

 
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