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| Language | English |
| Format | PDF (Premium Digital) |
| Ownership | Permanent download — yours forever |
Medical Applications of Finite Mixture Models by Peter Schlattmann
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.| ISBN 13 | 9783642088162 |
|---|---|
| ISBN 10 | 3642088163 |
| Author | Peter Schlattmann |
| Series | Statistics For Biology And Health |
| Condition | New |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2010-10-21 |
| Number of pages | 246 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
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