Bayesian Extrapolation of Space-Time Trends in Cancer Registry Data

DOI10.1111/j.0006-341X.2004.00259.xzbMath1274.62870OpenAlexW2058066416WikidataQ30978767 ScholiaQ30978767MaRDI QIDQ3445350

Volker J. Schmid, Leonhard Held

Publication date: 11 June 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2004.00259.x

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

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Cites Work

• Unnamed Item
• Fast Sampling of Gaussian Markov Random Fields
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Bayesian computation and stochastic systems. With comments and reply.
• Bayesian modelling of spatial heterogeneity in disease maps with application to German cancer mortality data
• On the Precision of the Conditionally Autoregressive Prior in Spatial Models
• Application of Markov Chain Monte Carlo Methods to Projecting Cancer Incidence and Mortality
• On Block Updating in Markov Random Field Models for Disease Mapping
• Bayesian Measures of Model Complexity and Fit