Assessing predictive accuracy of survival regressions subject to nonindependent censoring
From MaRDI portal
Publication:6627316
DOI10.1002/SIM.8420zbMATH Open1546.62795MaRDI QIDQ6627316
Ming Wang, Chixiang Chen, Qi Long, Lijun Zhang
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Risk prediction for prostate cancer recurrence through regularized estimation with simultaneous adjustment for nonlinear clinical effects
- A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems
- Regression analysis with randomly right-censored data
- Ignorability and coarse data
- On Lasso for censored data
- Semiparametric theory and missing data.
- Addressing issues associated with evaluating prediction models for survival endpoints based on the concordance statistic
- Quantifying the predictive accuracy of time-to-event models in the presence of competing risks
- Quantifying the Predictive Performance of Prognostic Models for Censored Survival Data with Time-Dependent Covariates
- Linear regression with censored data
- Rank-based inference for the accelerated failure time model
- Consistent Estimation of the Expected Brier Score in General Survival Models with Right‐Censored Event Times
- Sensitivity analysis for informative censoring in parametric survival models
- Regularization and Variable Selection Via the Elastic Net
- Performance of reclassification statistics in comparing risk prediction models
- Survival Model Predictive Accuracy and ROC Curves
- A new look at the statistical model identification
This page was built for publication: Assessing predictive accuracy of survival regressions subject to nonindependent censoring
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6627316)