# binregCasewise: Estimates the casewise concordance based on Concordance and... In mets: Analysis of Multivariate Event Times

 binregCasewise R Documentation

## 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.

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 Jan. 17, 2023, 5:12 p.m.