aalenMets: Fast additive hazards model with robust standard errors

In mets: Analysis of Multivariate Event Times

Fast additive hazards model with robust standard errors

Description

Fast Lin-Ying additive hazards model with a possibly stratified baseline. Robust variance is default variance with the summary.

Usage

aalenMets(formula, data = data, ...)

Arguments

formula	formula with 'Surv' outcome (see coxph)
data	data frame
...	Additional arguments to phreg

Details

influence functions (iid) will follow numerical order of given cluster variable so ordering after $id will give iid in order of data-set.

Author(s)

Thomas Scheike

Examples

data(bmt); bmt$time <- bmt$time+runif(408)*0.001
out <- aalenMets(Surv(time,cause==1)~tcell+platelet+age,data=bmt)
summary(out)

## out2 <- timereg::aalen(Surv(time,cause==1)~const(tcell)+const(platelet)+const(age),data=bmt)
## summary(out2)

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