| 书目名称 | Medical Applications of Finite Mixture Models | | 编辑 | Peter Schlattmann | | 视频video | | | 概述 | Covers wide range of applications of finite mixture models in the health sciences.Author provides related R package.Includes supplementary material: | | 丛书名称 | Statistics for Biology and Health | | 图书封面 |  | | 描述 | 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. | | 出版日期 | Book 2009 | | 关键词 | Computing; Health Sciences; Mixture Models; Statistics; epidemiology | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-68651-4 | | isbn_softcover | 978-3-642-08816-2 | | isbn_ebook | 978-3-540-68651-4Series ISSN 1431-8776 Series E-ISSN 2197-5671 | | issn_series | 1431-8776 | | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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发表于 2025-3-21 18:11:30
