Hierarchical multiresolution approaches for dense point-level breast cancer treatment data

DOI10.1016/j.csda.2007.09.011zbMath1333.62279OpenAlexW2035936380WikidataQ33401577 ScholiaQ33401577MaRDI QIDQ1023595

Bradley P. Carlin, Shengde Liang, Andrew O. Finley, Sally Bushhouse, Sudipto Banerjee

Publication date: 12 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2344142

zbMATH Keywords

kriginghierarchical modelingbreast canceraggregated geographic databig \(N\) problemconditionally autoregressive (CAR) model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05) Medical applications (general) (92C50)

Related Items

Editorial: Computational statistics within clinical research

Uses Software

• Boost
• spBayes
• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Bayesian multi-resolution modeling for spatially replicated data sets with application to forest biomass data
• Computational techniques for spatial logistic regression with large data sets
• Interpolation of spatial data. Some theory for kriging
• General design Bayesian generalized linear mixed models
• Geoadditive Models
• Spectral methods for nonstationary spatial processes
• Bayesian Measures of Model Complexity and Fit
• Applied Spatial Statistics for Public Health Data
• Approximate Likelihood for Large Irregularly Spaced Spatial Data
• Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
• Non-Gaussian Bayesian Geostatistical Modeling
• ON STATIONARY PROCESSES IN THE PLANE
• Deviance information criteria for missing data models