Introduction : 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
Summary
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
