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.
"Shows how to model heterogeneity in medical research with covariate adjusted finite mixture models. This book provides and summarizes the mathematical background necessary to understand the algorithms. It emphasises on a variety of medical applications such as gene expression data, meta-analysis and population pharmacokinetics."
"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."@en
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Statistics for Life Sciences, Medicine, Health Sciences.
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