Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation

By Michael J. Pencina, Ralph B. D’Agostino. Statistics in Medicine, 2004

1,464 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4d766af2687d3603a9b59b9245a44494236e72e9

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Citations in the corpus

Similarity network fusion for aggregating data types on a genomic scale (2014, methodology): “After obtaining a risk estimation of new patients, Concordance index [5] is used to measure the consistency between the estimated risk and the real survival time.”
Inference on Correlated Discrimination Measures in Survival Analysis: A Nonparametric Approach (2004, neutral): “Nonparametric approaches for deriving a confidence interval for C have recently been proposed (Antolini, 2003; Pencina, 2003).”
Concordance probability and discriminatory power in proportional hazards regression (2005, neutral): “Recently Pencina and D'Agostino (2004) provided further insight into this measure by investigating its relationship to Kendall's .”
Galectin-3, a Marker of Cardiac Fibrosis, Predicts Incident Heart Failure in the Community (2012, methodology): “Galectin - 3 ( Gal-3 ) is a beta - galactoside - binding lectin that appears to be a mediator of cardiac fibrosis in a number of recent experimental studies ( 6 , 7 ) .”
Clinical utility of different lipid measures for prediction of coronary heart disease in men and women. (2007, background): “In Cox models, the overall C index is defined as the probability of concordance of time to event, given comparability of individuals.(27) Two individuals can be compared if it can be determined who had a longer time to CHD event (event time vs event time or event time vs censoring time, if censoring”
Simple Risk Model Predicts Incidence of Atrial Fibrillation in a Racially and Geographically Diverse Population: the CHARGE‐AF Consortium (2013, neutral): “Fasting blood glucose, mg/dL 104 (28) 109 (33) 119 (55) 107 (31) 123 (56) 104 (21) 107 (27)”
Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers (2010, positive): “C statistics for models without and with HDL as the new marker were calculated using the method described in [30].”
Comparison of risk prediction using the CKD-EPI equation and the MDRD Study equation for estimated glomerular filtration rate (2012, neutral): “Modeldiscriminationwasassessedusing the c statistic, which allows for censoring.(71) We cross-tabulated estimated GFR using clinically relevant categories ( 90, 60-89, 45-59, 30-44, 15-29, 15 mL/min/1.”
Development and Validation of the American Heart Association Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) Equations (2023, methodology): “61 Change in model discrimination using enhanced risk prediction equations when each novel predictor (UACR, HbA1c, and SDI) was added individually or when all 3 were added together was assessed with the change in C-statistic and categorical net reclassification improvement (NRI; based at event…”