If TRUE add the model response,
i.e. event time, event status, etc. to the result.
...
not used
Details
Compute jackknife pseudo values based on marginal Kaplan-Meier estimate of
survival, or based on marginal Aalen-Johansen estimate of cumulative
incidence.
Note
The R-package pseudo does a similar job, and appears to be a little faster in small samples, but much slower in large samples. See examples.
Author(s)
Thomas Alexander Gerds <tag@biostat.ku.dk>
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
d=SimCompRisk(10)
f=prodlim(Hist(time,event)~1,data=d)
jackknife(f,times=c(3,10),cause=1)
jackknife(f,times=c(3,10,17),cause=2)