Time-Dependent AUC with Right-Censored Data: A Survey
From MaRDI portal
Publication:4984847
DOI10.1007/978-1-4614-8981-8_11zbMath1461.62185arXiv1210.6805OpenAlexW1508933955MaRDI QIDQ4984847
Aurélien Latouche, Paul Blanche, Vivian Viallon
Publication date: 20 April 2021
Published in: Risk Assessment and Evaluation of Predictions (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1210.6805
empirical distribution functionconditional survival functionfalse positive rateprimary estimatespline basis function
Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonparametric methodology for the time-dependent partial area under the ROC curve
- Evaluating the ROC performance of markers for future events
- Nearest neighbor estimation of a bivariate distribution under random censoring
- Non-parametric estimation for time-dependent AUC
- Competing Risks and Time-Dependent Covariates
- Evaluating Prognostic Accuracy of Biomarkers under Competing Risk
- Robust Prediction of t-Year Survival with Data from Multiple Studies
- Time-Dependent Predictive Accuracy in the Presence of Competing Risks
- Partial AUC Estimation and Regression
- Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data
- Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
- The sensitivity and specificity of markers for event times
- Estimation methods for time‐dependent AUC models with survival data
- Semiparametric Estimation of Regression Quantiles with Application to Standardizing Weight for Height and Age in US Children
- Proportional Hazards Estimate of the Conditional Survival Function
- Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker
- The Kaplan–Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average
- Evaluating Prediction Rules fort-Year Survivors With Censored Regression Models
- Semiparametric estimation of time-dependent ROC curves for longitudinal marker data
- Discrimination measures for survival outcomes: Connection between the AUC and the predictiveness curve
- Review and comparison of ROC curve estimators for a time‐dependent outcome with marker‐dependent censoring
- Prospective Accuracy for Longitudinal Markers
- On criteria for evaluating models of absolute risk
- Partly Conditional Survival Models for Longitudinal Data
- Survival Model Predictive Accuracy and ROC Curves