Description Usage Arguments Details Value References See Also Examples

C-statistic by Begg et al.

1 | ```
BeggC(Surv.rsp, Surv.rsp.new, lp, lpnew)
``` |

`Surv.rsp` |
A |

`Surv.rsp.new` |
A |

`lp` |
The vector of predictors estimated from the training data. |

`lpnew` |
The vector of predictors obtained from the test data. |

This function implements the C-statistic proposed by
Begg et al. (2000). It has the same interpretation as Harrell's C for
survival data (implemented in the `rcorr.cens`

function of the **Hmisc**
package). `BeggC`

is restricted to Cox regression.
Specifically, it is assumed that `lp`

and `lpnew`

are the predictors of
a Cox proportional hazards model. Estimates obtained from
`BeggC`

are valid as long as the Cox model is specified correctly.

The estimated C-statistic.

Begg, B. C., L. D. Craemer, E. S. Venkatraman and J. Rosai (2000).

Comparing tumor
staging and grading systems: a case study and a review of the issues, using thymoma as a model.

*Statistics in Medicine* **19**, 1997–2014.

1 2 3 4 5 6 7 8 9 10 11 12 | ```
TR <- ovarian[1:16,]
TE <- ovarian[17:26,]
train.fit <- coxph(Surv(futime, fustat) ~ age,
x=TRUE, y=TRUE, method="breslow", data=TR)
lp <- predict(train.fit)
lpnew <- predict(train.fit, newdata=TE)
Surv.rsp <- Surv(TR$futime, TR$fustat)
Surv.rsp.new <- Surv(TE$futime, TE$fustat)
Cstat <- BeggC(Surv.rsp, Surv.rsp.new, lp, lpnew)
Cstat
``` |

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