Semiparametric Bayesian commensurate survival model for post‐market medical device surveillance with non‐exchangeable historical data

DOI10.1111/biom.12115zbMath1419.62414OpenAlexW1731997806WikidataQ30708681 ScholiaQ30708681MaRDI QIDQ4979249

Brian P. Hobbs, Theodore C. Lystig, Thomas A. Murray, Bradley P. Carlin

Publication date: 17 June 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3954409

zbMATH Keywords

evidence synthesisBayesian hierarchical modelingcommensurate priornonhazard smoothingexchangeable sources of dataflexible proportional hazards model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items (2)

Web-based statistical tools for the analysis and design of clinical trials that incorporate historical controls ⋮ Combining nonexchangeable functional or survival data sources in oncology using generalized mixture commensurate priors

Uses Software

• SemiPar
• JAGS

Cites Work

• Unnamed Item
• About an adaptively weighted Kaplan-Meier estimate
• Bayesian computation and stochastic systems. With comments and reply.
• Survival analysis. Techniques for censored and truncated data.
• Bayesian adaptive B-spline estimation in proportional hazards frailty models
• Commensurate priors for incorporating historical information in clinical trials using general and generalized linear models
• Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials
• Bayesian Variable Selection in Linear Regression
• On Optimality Properties of the Power Prior
• Bayesian survival analysis

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