Medical Applications of Finite Mixture Models by Peter SchlattmannMedical Applications of Finite Mixture Models by Peter Schlattmann

Medical Applications of Finite Mixture Models

byPeter Schlattmann

Paperback | October 21, 2010

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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.

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Title:Medical Applications of Finite Mixture ModelsFormat:PaperbackDimensions:256 pages, 9.25 × 6.1 × 0 inPublished:October 21, 2010Publisher:Springer Berlin HeidelbergLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642088163

ISBN - 13:9783642088162

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Table of 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.

Editorial Reviews

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 who wish to apply finite mixture models. The book would make a good supplementary textbook for say a second year master's level course. . there are many nice examples demonstrating finite mixture modeling. . Each example is extremely well motivated. . Overall, the book is well written . ." (Timothy D. Johnson, Journal of the American Statistical Association, Vol. 106 (493), March, 2011)"This lucid and consistent presentation should be welcome by researchers in the greater domain of biomedical research. This impressive monograph attempts to cover the use of finite mixture models in a variety of biomedical problems, illustrated by appropriate case studies. . Statistical analysis has been presented consistently at an intermediate level so that researchers in a broader biomedical field, constituting the general audience of this book, can appreciate the rationality of statistical modelling and analysis to a greater extent." (Pranab K. Sen, International Statistical Review, Vol. 79 (2), 2011)"The motivation for this book is that the features of medical data can be governed by the existence of several groups/clusters/classes. . Through detailed examples and theoretical background, the book is successful in showing how finite mixtures and related methods can be applied in medical contexts. . this is a very interesting and generally well-written book. . it should be of interest to readers from the physical and engineering sciences because finite mixture analysis is widely applicable." (Charles Heckler, Technometrics, Vol. 52 (4), November, 2010)