Medical Applications of Finite Mixture Models
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...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Schlattmann, Peter (Autor) |
Autor Corporativo: | SpringerLink (Online service) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
|
Edición: | 1st ed. 2009. |
Colección: | Statistics for Biology and Health,
|
Temas: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Applied Predictive Modeling
por: Kuhn, Max, et al.
Publicado: (2013) -
Excel 2016 for Biological and Life Sciences Statistics A Guide to Solving Practical Problems /
por: Quirk, Thomas J., et al.
Publicado: (2016) -
Introduction to Data Analysis and Graphical Presentation in Biostatistics with R Statistics in the Large /
por: MacFarland, Thomas W.
Publicado: (2014) -
Excel 2013 for Biological and Life Sciences Statistics A Guide to Solving Practical Problems /
por: Quirk, Thomas J., et al.
Publicado: (2015) -
Excel 2007 for Biological and Life Sciences Statistics A Guide to Solving Practical Problems /
por: Quirk, Thomas J., et al.
Publicado: (2013)