A generalized additive model approach to time-to-event analysis

DOI10.1177/1471082X17748083OpenAlexW2793636163MaRDI QIDQ5142210

Andreas Groll, Fabian Scheipl, Andreas O. Bender

Publication date: 30 December 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x17748083

zbMATH Keywords

splinespenalizationsurvival analysisCox modeltime-varying coefficientspiece-wise exponential model

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (6)

Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data ⋮ Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models ⋮ Semiparametric regression for discrete time-to-event data ⋮ Boosting for statistical modelling-A non-technical introduction ⋮ pammtools ⋮ Comments on: ``Inference and computation with generalized additive models and their extensions

Uses Software

• R
• car
• survival
• lme4
• SemiPar
• mboost
• mgcv
• timereg
• glmnet
• pch
• carData

Cites Work

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• Practical variable selection for generalized additive models
• Piecewise exponential models for survival data with covariates
• Survival analysis. Techniques for censored and truncated data
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Dynamic regression models for survival data.
• Fitting a General Family of Failure-Time Distributions using GLIM
• The Group Lasso for Logistic Regression
• The Analysis of Rates and of Survivorship Using Log-Linear Models
• Fitting Cox's Regression Model to Survival Data using GLIM
• Covariance Analysis of Censored Survival Data Using Log-Linear Analysis Techniques
• Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
• Semiparametric Regression
• Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
• Semiparametric regression for discrete time-to-event data
• Boosting for statistical modelling-A non-technical introduction
• On p-values for smooth components of an extended generalized additive model
• Estimating the grid of time-points for the piecewise exponential model
• A Penalized Framework for Distributed Lag Non-Linear Models
• Selection of Effects in Cox Frailty Models by Regularization Methods

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