Inf.Cval {survC1} | R Documentation |
Inference of C
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 |
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 |
|
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)