Inf.Cval: Inference of C

In survC1: C-Statistics for Risk Prediction Models with Censored Survival Data

Description

Performes the inference for C

Usage

Inf.Cval(mydata, tau, itr = 1000, seed = NULL)

Arguments

mydata	Input data. The 1st column should be time-to-event, and the 2nd column is event indicator (1=event, 0=censor). The rest of the columns are covariates/predictors used in the model. No character variable or missing is allowed.
tau	Truncation time. The resulting C tells how well the given prediction model works in predicting events that occur in the time range from 0 to tau. Note that the survival function for the underlying censoring time distribution needs to be positive at tau.
itr	Iteration of perturbation-resampling.
seed	A seed for generating random numbers for the resampling. The default is NULL.

Value

Dhat	Estimate for C
se	Standard error estiamte
low95	Lower limit of a 0.95 two-sided confidence interval for C
upp95	Upper limit of a 0.95 two-sided confidence interval for C
ft	coxph object with the fitted model

Examples

D=CompCase(pbc[1:200,c(2:4,10:14)]) 
D[,2]=as.numeric(D[,2]==2)

tau=365.25*8

C=Inf.Cval(D, tau, itr=200)
round(c(C$Dhat, C$se, C$low95, C$upp95), digits=3)

survC1 documentation built on Feb. 10, 2021, 5:06 p.m.