Flexible Bayesian survival modeling with semiparametric time-dependent and shape-restricted covariate effects

DOI10.1214/15-BA954zbMath1357.62281WikidataQ39630408 ScholiaQ39630408MaRDI QIDQ516472

Daniel J. Sargent, Brian P. Hobbs, Bradley P. Carlin, Thomas A. Murray

Publication date: 14 March 2017

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1431607819

zbMATH Keywords

survival analysissemiparametric methodscolorectal cancerBayesian methodspenalized splinesshape-restricted effectstime-dependent effects

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric inference under constraints (62F30) Censored data models (62N01) Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items

Efficient particle smoothing for Bayesian inference in dynamic survival models, Optimality of testing procedures for survival data in the nonproportional hazards setting, Bayesian regularization for flexible baseline hazard functions in Cox survival models, Estrogen receptor expression on breast cancer patients' survival under shape-restricted Cox regression model, Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models

Uses Software

• WinBUGS
• SemiPar
• BUGS
• JAGS
• BayesDA

Cites Work

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