Evaluating the ROC performance of markers for future events

DOI10.1007/s10985-007-9073-xzbMath1169.62385OpenAlexW1983141620WikidataQ40146249 ScholiaQ40146249MaRDI QIDQ1029793

Yingye Zheng, Wayne C. Levy, Ying Huang, Chirag R. Parikh, Margaret S. Pepe, Yuying Jin

Publication date: 13 July 2009

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/cgi/viewcontent.cgi?article=1149&context=uwbiostat

zbMATH Keywords

predictionsensitivityspecificitydiagnostic testprognosiskidney biomarkersSeattle Heart Failure study

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (13)

Estimation of incident dynamic AUC in practice ⋮ Explained variation for recurrent event data ⋮ Evaluating Prognostic Accuracy of Biomarkers under Competing Risk ⋮ Time-dependent ROC methodology to evaluate the predictive accuracy of semiparametric multi-state models in the presence of competing risks: An application to peritoneal dialysis programme ⋮ Discrimination measures for survival outcomes: Connection between the AUC and the predictiveness curve ⋮ Cumulative/dynamic ROC curve estimation under interval censorship ⋮ Semiparametric Models of Time-Dependent Predictive Values of Prognostic Biomarkers ⋮ A Robust Alternative to the Schemper-Henderson Estimator of Prediction Error ⋮ Review and comparison of ROC curve estimators for a time‐dependent outcome with marker‐dependent censoring ⋮ Assessing diagnostic accuracy improvement for survival or competing‐risk censored outcomes ⋮ Estimation of covariate-specific time-dependent ROC curves in the presence of missing biomarkers ⋮ Models and estimation for systems with recurrent events and usage processes ⋮ Time-Dependent AUC with Right-Censored Data: A Survey

Cites Work

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• Semiparametric estimation of time-dependent ROC curves for longitudinal marker data
• Prospective Accuracy for Longitudinal Markers
• Application of the Time‐Dependent ROC Curves for Prognostic Accuracy with Multiple Biomarkers
• Survival Model Predictive Accuracy and ROC Curves

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