Parametrization and penalties in spline models with an application to survival analysis

DOI10.1016/j.csda.2008.07.026zbMath1452.62045OpenAlexW2052630092MaRDI QIDQ961170

Maria João Costa, J. Ewart H. Shaw

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.07.026

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (3)

A flexible link for joint modelling longitudinal and survival data accounting for individual longitudinal heterogeneity ⋮ Comparison of procedures to assess non‐linear and time‐varying effects in multivariable models for survival data ⋮ Editorial: Computational statistics within clinical research

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Penalized spline smoothing in multivariable survival models with varying coefficients
• Improved predictions penalizing both slope and curvature in additive models
• Deficient cubic spline interpolation
• On deficient cubic spline interpolation
• Multivariate adaptive regression splines
• A practical guide to splines
• A flexible approach to time-varying coefficients in the Cox regression setting
• Bayesian backfitting. (With comments and a rejoinder).
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Bayesian spline-type smoothing in generalized regression models
• Generalized structured additive regression based on Bayesian P-splines
• A Bayesian justification of Cox's partial likelihood
• Time-Dependent Hazard Ratio: Modeling and Hypothesis Testing With Application in Lupus Nephritis
• Spline-Based Tests in Survival Analysis
• A Mixed Model Approach for Geoadditive Hazard Regression
• Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
• On the Cox Model With Time-Varying Regression Coefficients
• Geoadditive Survival Models

This page was built for publication: Parametrization and penalties in spline models with an application to survival analysis