survfit.cph
Cox Predicted Survival
This is a slightly modified version of Therneau's survfit.coxph
function. The difference is that survfit.cph
assumes that
x=TRUE,y=TRUE
were specified to the fit. This assures that the
environment in effect at the time of the fit (e.g., automatic knot
estimation for spline functions) is the same one used for basing predictions.
- Keywords
- survival
Usage
# S3 method for cph
survfit(formula, newdata, se.fit=TRUE, conf.int=0.95,
individual=FALSE, type=NULL, vartype=NULL,
conf.type=c('log', "log-log", "plain", "none"), id, …)
Arguments
- formula
a fit object from
cph
orcoxph
seesurvfit.coxph
- newdata,se.fit,conf.int,individual,type,vartype,conf.type,id
see
survfit
. Ifindividual
isTRUE
, there must be exactly oneSurv
object innewdata
. This object is used to specify time intervals for time-dependent covariate paths. To get predictions for multiple subjects with time-dependent covariates, specify a vectorid
which specifies unique hypothetical subjects. The length ofid
should equal the number of rows innewdata
.- …
Not used
Value
see survfit.coxph