AUC {dynpred} | R Documentation |
Calculate AUC(t) curve
Description
Calculate model-free curve of Area Under the Curve values over time, based on the dynamic/incident AUC of Heagerty and Zheng.
Usage
AUC(formula, data, plot = TRUE)
Arguments
formula |
Formula for prediction model to be used as in
|
data |
Data set in which to interpret the formula |
plot |
Determines whether the AUC function should be plotted (if
|
Value
A list with elements
AUCt |
A data frame with time t in column
|
AUC |
The AUC(t) weighted by Y(t)-1, with Y(t) the number at risk at t; this coincides with Harrell's c-index |
Author(s)
Hein Putter H.Putter@lumc.nl
References
Harrell FE, Lee KL & Mark DB (1996), Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors, Statistics in Medicine 15, 361-387.
Heagerty PJ & Zheng Y (2005), Survival model predictive accuracy and ROC curves, Biometrics 61, 92-105.
van Houwelingen HC, Putter H (2012). Dynamic Prediction in Clinical Survival Analysis. Chapman & Hall.
Examples
data(ova)
AUC(Surv(tyears, d) ~ Karn + Broders + FIGO + Ascites + Diam, data = ova)