prodlim (version 2023.08.28)

jackknife: Compute jackknife pseudo values.

Description

Compute jackknife pseudo values.

Usage

jackknife(object, times, cause, keepResponse = FALSE, ...)

Arguments

object

Object of class "prodlim".

times

Time points at which to compute pseudo values.

cause

Character (other classes are converted with as.character). For competing risks the cause of failure.

keepResponse

If TRUE add the model response, i.e. event time, event status, etc. to the result.

...

not used

Author

Thomas Alexander Gerds <[e-mail]>

Details

Compute jackknife pseudo values based on marginal Kaplan-Meier estimate of survival, or based on marginal Aalen-Johansen estimate of the absolute risks, i.e., the cumulative incidence function.

References

Andersen PK & Perme MP (2010). Pseudo-observations in survival analysis Statistical Methods in Medical Research, 19(1), 71-99.

See Also

prodlim

Examples

## pseudo-values for survival models

d=SimSurv(20) 
f=prodlim(Hist(time,status)~1,data=d) 
jackknife(f,times=c(3,5))

## in some situations it may be useful to attach the
## the event time history to the result
jackknife(f,times=c(3,5),keepResponse=TRUE)

# pseudo-values for competing risk models
set.seed(15)
d=SimCompRisk(15) 
f=prodlim(Hist(time,event)~1,data=d) 
jackknife(f,times=c(3,5),cause=1)
jackknife(f,times=c(1,3,5),cause=2)