Spatial extended hazard model with application to prostate cancer survival

DOI10.1111/BIOM.12268zbMath1390.62283OpenAlexW2145148901WikidataQ33885510 ScholiaQ33885510MaRDI QIDQ3459927

Li Li, Jiajia Zhang, Timothy E. Hanson

Publication date: 11 January 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5502082

zbMATH Keywords

censored dataGaussian copulanormal transformation modelintrinsic autoregressive prior

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01)

Related Items (5)

Bayes factors for choosing among six common survival models ⋮ Bayesian Spatial Survival Models ⋮ Spatial Boundary Detection for Areal Counts ⋮ A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data ⋮ Marginal Bayesian Semiparametric Modeling of Mismeasured Multivariate Interval-Censored Data

Uses Software

• spBayes

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