Mixture Modelling for Medical and Health Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mixture Modelling for Medical and Health Sciences write by Shu-Kay Ng. This book was released on 2019-05-03. Mixture Modelling for Medical and Health Sciences available in PDF, EPUB and Kindle. Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical examples taken from real-life research problems in
Medical Applications of Finite Mixture Models
Medical Applications of Finite Mixture Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Medical Applications of Finite Mixture Models write by Peter Schlattmann. This book was released on 2009-03-02. Medical Applications of Finite Mixture Models available in PDF, EPUB and Kindle. 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.
Mixture Modelling for Medical and Health Sciences
Mixture Modelling for Medical and Health Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mixture Modelling for Medical and Health Sciences write by Shu-Kay Ng. This book was released on 2019-05-03. Mixture Modelling for Medical and Health Sciences available in PDF, EPUB and Kindle. Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical examples taken from real-life research problems in
Nonlinear Mixture Models: A Bayesian Approach
Nonlinear Mixture Models: A Bayesian Approach - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nonlinear Mixture Models: A Bayesian Approach write by Tatiana V Tatarinova. This book was released on 2014-12-30. Nonlinear Mixture Models: A Bayesian Approach available in PDF, EPUB and Kindle. This book, written by two mathematicians from the University of Southern California, provides a broad introduction to the important subject of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications. It is self-contained and unified in presentation, which makes it ideal for use as an advanced textbook by graduate students and as a reference for independent researchers. The explanations in the book are detailed enough to capture the interest of the curious reader, and complete enough to provide the necessary background material needed to go further into the subject and explore the research literature.In this book the authors present Bayesian methods of analysis for nonlinear, hierarchical mixture models, with a finite, but possibly unknown, number of components. These methods are then applied to various problems including population pharmacokinetics and gene expression analysis. In population pharmacokinetics, the nonlinear mixture model, based on previous clinical data, becomes the prior distribution for individual therapy. For gene expression data, one application included in the book is to determine which genes should be associated with the same component of the mixture (also known as a clustering problem). The book also contains examples of computer programs written in BUGS. This is the first book of its kind to cover many of the topics in this field.
Finite Mixture Models
Finite Mixture Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Finite Mixture Models write by Geoffrey McLachlan. This book was released on 2004-03-22. Finite Mixture Models available in PDF, EPUB and Kindle. An up-to-date, comprehensive account of major issues in finitemixture modeling This volume provides an up-to-date account of the theory andapplications of modeling via finite mixture distributions. With anemphasis on the applications of mixture models in both mainstreamanalysis and other areas such as unsupervised pattern recognition,speech recognition, and medical imaging, the book describes theformulations of the finite mixture approach, details itsmethodology, discusses aspects of its implementation, andillustrates its application in many common statisticalcontexts. Major issues discussed in this book include identifiabilityproblems, actual fitting of finite mixtures through use of the EMalgorithm, properties of the maximum likelihood estimators soobtained, assessment of the number of components to be used in themixture, and the applicability of asymptotic theory in providing abasis for the solutions to some of these problems. The author alsoconsiders how the EM algorithm can be scaled to handle the fittingof mixture models to very large databases, as in data miningapplications. This comprehensive, practical guide: * Provides more than 800 references-40% published since 1995 * Includes an appendix listing available mixture software * Links statistical literature with machine learning and patternrecognition literature * Contains more than 100 helpful graphs, charts, and tables Finite Mixture Models is an important resource for both applied andtheoretical statisticians as well as for researchers in the manyareas in which finite mixture models can be used to analyze data.
