AUC.cv.ncvsurv | R Documentation |

Calculates the cross-validated AUC (concordance) from a `cv.ncvsurv`

object.

```
## S3 method for class 'cv.ncvsurv'
AUC(obj, ...)
```

`obj` |
A |

`...` |
For S3 method compatibility; not used |

The area under the curve (AUC), or equivalently, the concordance statistic
(C), is calculated according to the procedure described in van Houwelingen
and Putter (2011). The function calls `survival::concordancefit()`

, except
cross-validated linear predictors are used to guard against overfitting.
Thus, the values returned by `AUC.cv.ncvsurv()`

will be lower than those you
would obtain with `concordancefit()`

if you fit the full (unpenalized) model.

Patrick Breheny, Brandon Butcher, and Lawrence Hunsicker

van Houwelingen H, Putter H (2011). Dynamic Prediction in Clinical Survival Analysis. CRC Press.

`cv.ncvsurv()`

, `survival::concordancefit()`

```
data(Lung)
X <- Lung$X
y <- Lung$y
cvfit <- cv.ncvsurv(X, y, returnY=TRUE)
head(AUC(cvfit))
lam <- cvfit$lambda
plot(lam, AUC(cvfit), xlim=rev(range(lam)), lwd=3, type='l',
las=1, xlab=expression(lambda), ylab='AUC')
```

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