Est.Cval: Esimtation of C

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

Description

Performs a point estimation of C

Usage

Est.Cval(mydata, tau, nofit=FALSE)

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.
nofit	If TRUE, the 3rd column of mydata is used as the risk score directly in calculation of C. The default is FALSE.

Value

Dhat	Estimate of C
beta	Estimates for regression coefficient in the Cox model
beta.var	Variance-Covariance matrix for beta above
rs	Risk score of each individial
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
model=D[,c(1,2,4,5)]

Est.Cval(model, tau)$Dhat

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