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    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
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Medical Applications of Finite Mixture Models

Medical Applications of Finite Mixture Models

Schlattmann, Peter

Hardcover

Series: Statistics for Biology and Health

Medical Reference

ISBN10: 3540686509
ISBN13: 9783540686507
Publisher: Springer
Published: Mar 19 2009
Pages: 246
Weight: 1.19
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
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.

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