casewise: Estimates the casewise concordance based on Concordance and...

View source: R/casewise.R

casewiseR Documentation

Estimates the casewise concordance based on Concordance and marginal estimate using prodlim but no testing

Description

.. content for description (no empty lines) ..

Usage

casewise(conc, marg, cause.marg)

Arguments

conc

Concordance

marg

Marginal estimate

cause.marg

specififes which cause that should be used for marginal cif based on prodlim

Author(s)

Thomas Scheike

Examples

 ## Reduce Ex.Timings
library(prodlim)
data(prt);
prt <- force.same.cens(prt,cause="status")

### marginal cumulative incidence of prostate cancer##' 
outm <- prodlim(Hist(time,status)~+1,data=prt)

times <- 60:100
cifmz <- predict(outm,cause=2,time=times,newdata=data.frame(zyg="MZ")) ## cause is 2 (second cause) 
cifdz <- predict(outm,cause=2,time=times,newdata=data.frame(zyg="DZ"))

### concordance for MZ and DZ twins
cc <- bicomprisk(Event(time,status)~strata(zyg)+id(id),data=prt,cause=c(2,2),prodlim=TRUE)
cdz <- cc$model$"DZ"
cmz <- cc$model$"MZ"

cdz <- casewise(cdz,outm,cause.marg=2) 
cmz <- casewise(cmz,outm,cause.marg=2)

plot(cmz,ci=NULL,ylim=c(0,0.5),xlim=c(60,100),legend=TRUE,col=c(3,2,1))
par(new=TRUE)
plot(cdz,ci=NULL,ylim=c(0,0.5),xlim=c(60,100),legend=TRUE)
summary(cdz)
summary(cmz)


mets documentation built on Jan. 17, 2023, 5:12 p.m.