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Titlebook: Medical Applications of Finite Mixture Models; Peter Schlattmann Book 2009 Springer-Verlag Berlin Heidelberg 2009 Computing.Health Science

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發(fā)表于 2025-3-21 18:11:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Medical Applications of Finite Mixture Models
編輯Peter Schlattmann
視頻videohttp://file.papertrans.cn/630/629112/629112.mp4
概述Covers wide range of applications of finite mixture models in the health sciences.Author provides related R package.Includes supplementary material:
叢書名稱Statistics for Biology and Health
圖書封面Titlebook: Medical Applications of Finite Mixture Models;  Peter Schlattmann Book 2009 Springer-Verlag Berlin Heidelberg 2009 Computing.Health Science
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
關(guān)鍵詞Computing; Health Sciences; Mixture Models; Statistics; epidemiology
版次1
doihttps://doi.org/10.1007/978-3-540-68651-4
isbn_softcover978-3-642-08816-2
isbn_ebook978-3-540-68651-4Series ISSN 1431-8776 Series E-ISSN 2197-5671
issn_series 1431-8776
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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https://doi.org/10.1007/978-3-540-68651-4Computing; Health Sciences; Mixture Models; Statistics; epidemiology
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Medical Applications of Finite Mixture Models978-3-540-68651-4Series ISSN 1431-8776 Series E-ISSN 2197-5671
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Book 2009age” 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 ef
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Peter Schlattmann Drolicy makers who plan and manage oil and gas projects, the construction of ports and terminals, shipping, fishery, recreation, and tourist activities in the Baltic Sea. It also offers graduate and undergraduate students in marine and environmental sciences a valuable resource and reference work on t
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