Medical Applications of Finite Mixture Models

• Κύριος συγγραφέας: Schlattmann, Peter (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Statistics for Biology and Health,
• Θέματα: Statistics.; Public health.; Epidemiology.; Biostatistics.; Statistics for Life Sciences, Medicine, Health Sciences.; Public Health.; Statistics and Computing/Statistics Programs.
• Φυσική περιγραφή: X, 246 p. 74 illus. online resource.
• ISBN: 9783540686514
• ISSN: 1431-8776

The book shows how to model heterogeneity in medical research with covariate adjusted finite mixture models. The areas of application include epidemiology, gene expression data, disease mapping, meta-analysis, neurophysiology and pharmacology. After an informal introduction the book provides and summarizes the mathematical background necessary to understand the algorithms. The emphasis of the book is on a variety of medical applications such as gene expression data, meta-analysis and population pharmacokinetics. These applications are discussed in detail using real data from the medical literature. The book offers an R package which enables the reader to use the methods for his/her needs.