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Field name	Details
Dewey Class	610.727
Title	Medical Applications of Finite Mixture Models (EB) / by Peter Schlattmann.
Author	Schlattmann, Peter
Other name(s)	SpringerLink (Online service)
Publication	Berlin, Heidelberg : Springer , 2009.
Physical Details	256 pages : online resource.
Series	Statistics for Biology and Health 1431-8776
ISBN	9783540686514
Summary Note	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.:
Contents note	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.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	http://dx.doi.org/10.1007/978-3-540-68651-4
Links to Related Works	Subject References: Biostatistics . Epidemiology . Mathematical Statistics . Public Health/Gesundheitswesen . Statistical methods . Statistics . Statistics and Computing/Statistics Programs . Statistics for Life Sciences, Medicine, Health Sciences . Authors: Schlattmann, Peter . Corporate Authors: SpringerLink (Online service) . Series: Statistics for Biology and Health . Classification: 610.727 . 610.727 .

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Medical Applications of Finite Mixture Models

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