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.

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 sum...

Πίνακας περιεχομένων:

• Overview over the Book
• - Heterogeneity in Medicine
• Modeling Count Data
• Theory and Algorithms
• Disease Mapping and Cluster Investigations
• Modeling Heterogeneity in Psychophysiology
• Investigating and Analyzing Heterogeneity in Meta-Analysis
• Analysis of Gene Expression Data.