Fitting survival data with penalized Poisson regression

DOI10.1007/S10260-011-0172-1zbMath1238.62119OpenAlexW2089728015MaRDI QIDQ413991

Aris Perperoglou

Publication date: 8 May 2012

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-011-0172-1

zbMATH Keywords

proportional hazardsridge regressionefficient computationpenalized likelihood

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Estimation in survival analysis and censored data (62N02)

Uses Software

• penalized
• SemiPar

Cites Work

• Unnamed Item
• Cox regression analysis in presence of collinearity: an application to assessment of health risks associated with occupational radiation exposure
• Fast and compact smoothing on large multidimensional grids
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Penalized regression with individual deviance effects
• Penalized regression, standard errors, and Bayesian Lassos
• Autocorrelated Logistic Ridge Regression for Prediction Based on Proteomics Spectra
• Penalized Partial Likelihood Regression for Right-Censored Data with Bootstrap Selection of the Penalty Parameter
• Generalized Linear Array Models with Applications to Multidimensional Smoothing
• Estimation in generalized linear models with random effects
• Shrinkage and Penalized Likelihood as Methods to Improve Predictive Accuracy
• Ridge Estimators in Logistic Regression
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• The elements of statistical learning. Data mining, inference, and prediction

This page was built for publication: Fitting survival data with penalized Poisson regression