| Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| E-Books | Biblioteca da FCTUNL Online | Não Ficção | QA273.6.SPR FCT 82149 (Browse shelf) | 1 | Available |
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| QA273.6.SPR FCT 81468 An introduction to heavy-tailed and subexponential distributions | QA273.6.SPR FCT 81516 Elliptically contoured models in statistics and portfolio theory | QA273.6.SPR FCT 81716 Laws of small numbers | QA273.6.SPR FCT 82149 Medical applications of finite mixture models | QA273.6.SPR FCT 82371 The Poisson-Dirichlet distribution and related topics | QA273.6.SPR FCT 82403 Copula theory and its applications | QA273.6.SPR FCT 82443 Normal approximation by Stein’s method |
Colocação: Online
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.
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