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

In mets: Analysis of Multivariate Event Times

Estimates the casewise concordance based on Concordance and marginal estimate using binreg

Description

Estimates the casewise concordance based on Concordance and marginal estimate using binreg

Usage

binregCasewise(concbreg, margbreg, zygs = c("DZ", "MZ"), newdata = NULL, ...)

Arguments

concbreg	Concordance
margbreg	Marginal estimate
zygs	order of zygosity for estimation of concordance and casewise.
newdata	to give instead of zygs.
...	to pass to estimate function

Details

Uses cluster iid for the two binomial-regression estimates standard errors better than those of casewise that are often conservative.

Author(s)

Thomas Scheike

Examples

data(prt)
prt <- force.same.cens(prt,cause="status")

dd <- bicompriskData(Event(time, status)~strata(zyg)+id(id), data=prt, cause=c(2, 2))
newdata <- data.frame(zyg=c("DZ","MZ"),id=1)

## concordance 
bcif1 <- binreg(Event(time,status)~-1+factor(zyg)+cluster(id), data=dd,
                time=80, cause=1, cens.model=~strata(zyg))
pconc <- predict(bcif1,newdata)

## marginal estimates 
mbcif1 <- binreg(Event(time,status)~cluster(id), data=prt, time=80, cause=2)
mc <- predict(mbcif1,newdata)
mc

cse <- binregCasewise(bcif1,mbcif1)
cse

mets documentation built on May 29, 2024, 3:51 a.m.