Prior choice in discrete latent modeling of spatially referenced cancer survival

scientific article published on 2 May 2012

Prior choice in discrete latent modeling of spatially referenced cancer survival is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1177/0962280212447148
P698PubMed publication ID22556109
P5875ResearchGate publication ID224897386

P2093author name stringJiajia Zhang
Andrew B Lawson
Jungsoon Choi
P2860cites workFrailty modeling for spatially correlated survival data, with application to infant mortality in MinnesotaQ30819304
Bayesian spatiotemporal model of fMRI dataQ33489114
Space–time latent component modeling of geo‐referenced health dataQ33648912
Bayesian Parametric Accelerated Failure Time Spatial Model and its Application to Prostate CancerQ34759503
Joint spatial survival modeling for the age at diagnosis and the vital outcome of prostate cancerQ36158044
Functional connectivity mapping using the ferromagnetic Potts spin modelQ48170504
A Bayesian hierarchical modeling approach for studying the factors affecting the stage at diagnosis of prostate cancer.Q51907568
Dynamic survival models with spatial frailty.Q51931420
Bayesian image restoration, with two applications in spatial statisticsQ56559498
On Bayesian model and variable selection using MCMCQ58296110
P433issue2
P304page(s)183-200
P577publication date2012-05-02
P1433published inStatistical Methods in Medical ResearchQ7604374
P1476titlePrior choice in discrete latent modeling of spatially referenced cancer survival
P478volume23

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cites work (P2860)
Q98779173Bayesian cure-rate survival model with spatially structured censoring
Q39676367Bayesian spatially dependent variable selection for small area health modeling
Q64461497Cluster detection of spatial regression coefficients

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