Modelling Complexity: Applications of Gibbs Sampling in Medicine

We review applications of Gibbs sampling in medicine, involving longitudinal, spatial, covariate measurement and survival models. Applications in immunology, pharmacology, transplantation, cancer screening, industrial epidemiology and genetic epidemiology are discussed.

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Bibliographic Details
Published in:Journal of the Royal Statistical Society. Series B, Methodological Methodological, 1993-01, Vol.55 (1), p.39-52
Main Authors: Gilks, W. R., Clayton, D. G., Spiegelhalter, D. J., Best, N. G., McNeil, A. J.
Format: Article
Language:English
Subjects:
aids
ancillary data
bayesian inference
Biological and medical sciences
clinical monitoring
Computerized, statistical medical data processing and models in biomedicine
disease mapping
Disease models
Disease risk
Drug design
Epidemiology
Estimation methods
frailty
General aspects. Methods
Genotypes
gibbs sampling
job‐exposure matrix
linkage analysis
longitudinal data
markov chain monte carlo
Markov chains
Medical sciences
misclassification
missing data
Modeling
Multilevel models
non‐linear model
pharmacology
segregation analysis
survival analysis
Vaccination
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Description
Summary:We review applications of Gibbs sampling in medicine, involving longitudinal, spatial, covariate measurement and survival models. Applications in immunology, pharmacology, transplantation, cancer screening, industrial epidemiology and genetic epidemiology are discussed.
ISSN:0035-9246
1369-7412
2517-6161
1467-9868
DOI:10.1111/j.2517-6161.1993.tb01468.x