Explained Variation for Survival Models

314 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Sample size considerations for the external validation of a multivariable prognostic model: a resampling study (2015, background): “(the c-index [31] and D statistic [32]), calibration [9,33], and other performance measures (R(2)D [34],R 2 OXS [35] and the Brier score for censored data [36]).”
Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2 (2008, background): “statistic is a measure of explained variation where higher values indicate more explained variation.”
The Presence and Severity of Chronic Kidney Disease Predicts All-Cause Mortality in Type 1 Diabetes (2009, methodology): “Cox model performance was judged by the explained variation using 5,000 bootstrap repetitions of the whole dataset, adjusting for covariates (18).”