A Parametric Dynamic Survival Model Applied to Breast Cancer Survival Times

DOI10.1111/1467-9876.00278zbMath1111.62343OpenAlexW2036774609MaRDI QIDQ3435724

J. Ewart H. Shaw, K. Hemming

Publication date: 7 May 2007

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9876.00278

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (10)

Efficient particle smoothing for Bayesian inference in dynamic survival models ⋮ Adjusted Interim Survival Analysis Under Nonproportional Hazards ⋮ Bayesian assessment of times to diagnosis in breast cancer screening ⋮ Dynamic Bayesian adjustment of anticipatory covariates in retrospective data: application to the effect of education on divorce risk ⋮ Dynamic survival models with spatial frailty ⋮ A class of dynamic piecewise exponential models with random time grid ⋮ Decomposition of time series models in state-space form ⋮ Bayesian estimation and stochastic model specification search for dynamic survival models ⋮ Parallel tempering for dynamic generalized linear models ⋮ Multivariate parametric spatiotemporal models for county level breast cancer survival data

Cites Work

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• A flexible approach to time-varying coefficients in the Cox regression setting
• Practical nonparametric and semiparametric Bayesian statistics
• A class of parametric dynamic survival models
• Bayesian survival analysis

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