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Añadir al carritoHardcover. Condición: Fine. 3540686509 Fine/As New; Hardcover; Covers are still glossy with "sharp" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Purple and tan covers with title in white lettering; 2009, Springer-Verlag Publishing; 246 pages; "Medical Applications of Finite Mixture Models (Statistics for Biology and Health)," by Peter Schlattmann.
Idioma: Inglés
Publicado por Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2009
ISBN 10: 3540686509 ISBN 13: 9783540686507
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Añadir al carritoHardcover. Condición: new. Hardcover. 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 authors 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Idioma: Inglés
Publicado por Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2009
ISBN 10: 3540686509 ISBN 13: 9783540686507
Librería: AussieBookSeller, Truganina, VIC, Australia
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Añadir al carritoHardcover. Condición: new. Hardcover. 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 authors 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2009
ISBN 10: 3540686509 ISBN 13: 9783540686507
Librería: moluna, Greven, Alemania
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers wide range of applications of finite mixture models in the health sciencesAuthor provides related R packagePatients are not alike! This simple truth is often ignored in the analysis of me- cal data, since most of the time results ar.