Medical applications of finite mixture models

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. After an informal introduction the book provides and sum...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Schlattmann, Peter
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: Berlin, Heidelberg : Springer Berlin Heidelberg 2009.
Cham : Springer Nature
Schriftenreihe:Statistics for Biology and Health
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Anmerkung: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Medical Applications of Finite Mixture Models, Schlattmann, Peter ed., 2009, [Ville de publication inconnue], Springer Verlag, 1 vol. (X-246 p.), Statistics for biology and health, 978-3-540-68650-7
• Medical Applications of Finite Mixture Models, Texte imprimé, 9783540864349
• Medical Applications of Finite Mixture Models, Texte imprimé, 9783642088162
Beschreibung
Zusammenfassung: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. After an informal introduction the book provides and summarizes the mathematical background necessary to understand the algorithms. The emphasis of the book is on a variety of medical applications such as gene expression data, meta-analysis and population pharmacokinetics. These applications are discussed in detail using real data from the medical literature. The book offers an R package which enables the reader to use the methods for his/her needs.
Beschreibung:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540686514
ISSN:2197-5671
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