Medical Applications of Finite Mixture Models (Hardcover, 2009 ed.)

Patients are not alike! This simple truth is often ignored in the analysis of me- cal data, since most of the time results are presented for the "average" patient. As a result, potential variability between patients is ignored when presenting, e.g., the results of a multiple linear regression model. In medicine there are more and more attempts to individualize therapy; thus, from the author's point of view biostatis- cians should support these efforts. Therefore, one of the tasks of the statistician is to identify heterogeneity of patients and, if possible, to explain part of it with known explanatory covariates. Finite mixture models may be used to aid this purpose. This book tries to show that there are a large range of applications. They include the analysis of gene - pression data, pharmacokinetics, toxicology, and the determinants of beta-carotene plasma levels. Other examples include disease clustering, data from psychophysi- ogy, and meta-analysis of published studies. The book is intended as a resource for those interested in applying these methods.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Statistics for Biology and Health
Release date:	March 2009
First published:	March 2009
Authors:	Peter Schlattmann
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	246
Edition:	2009 ed.
ISBN-13:	978-3-540-68650-7
Categories:	Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Promotions
LSN:	3-540-68650-9
Barcode:	9783540686507

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