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

DOI10.1177/1471082X16658731OpenAlexW2497700830WikidataQ60484796 ScholiaQ60484796MaRDI QIDQ5142158

Anabela Rodrigues, Carmen Cadarso-Suárez, Laetitia Teixeira, Denisa Mendonça

Publication date: 30 December 2020

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

Full work available at URL: https://doi.org/10.1177/1471082x16658731

zbMATH Keywords

survival analysiscompeting risksmulti-state modelsSTAR modeltime-dependent ROC curveperitoneal dialysis

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

NestedCompRisks

Uses Software

• R
• mstate
• BayesX
• timereg
• cmprsk
• SmoothHR
• bootlib

Cites Work

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• bootlib
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• Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker
• Flexible hazard ratio curves for continuous predictors in multi-state models
• Bayesian semi parametric multi-state models
• A Mixed Model Approach for Geoadditive Hazard Regression
• Survival Model Predictive Accuracy and ROC Curves
• Geoadditive Survival Models

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