predict.FGR: Predict subject specific risks (cumulative incidence) based...

In riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks

Predict subject specific risks (cumulative incidence) based on Fine-Gray regression model

Description

Predict subject specific risks (cumulative incidence) based on Fine-Gray regression model

Usage

## S3 method for class 'FGR'
predict(object, newdata, times, ...)

Arguments

object	Result of call to FGR
newdata	Predictor values of subjects for who to predict risks
times	Time points at which to evaluate the risks
...	passed to predict.crr

Examples

library(prodlim)
library(survival)
set.seed(10)
d <- sampleData(101, outcome = "competing.risk")
tFun<-function(t) {t}
fgr<-FGR(Hist(time, event)~X1+strata(X2)+X6+cov2(X7, tf=tFun),
         data=d, cause=1)
predictRisk(fgr,times=5,newdata=d[1:10])

riskRegression documentation built on May 29, 2024, 10:59 a.m.