Free Knot Splines with RJMCMC in Survival Data Analysis

DOI10.1080/03610920903072424zbMath1204.62168OpenAlexW2079564919MaRDI QIDQ2786249

Nicolas Molinari, Michel Denis

Publication date: 21 September 2010

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920903072424

zbMATH Keywords

splinesCox modelB-splinesreversible jump Markov chain Monte Carlo method

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Numerical smoothing, curve fitting (65D10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Numerical analysis or methods applied to Markov chains (65C40) Estimation in survival analysis and censored data (62N02)

Cites Work

• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• A practical guide to splines
• Regression with censored data
• Nonparametric Estimation of Relative Risk Using Splines and Cross-Validation
• Automatic Bayesian Curve Fitting
• Hazard Regression
• Monte Carlo sampling methods using Markov chains and their applications

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