Cox Predicted Survival

DESCRIPTION:

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. Unlike survfit.coxph, the default basis for confidence intervals is "log-log".

USAGE:

survfit.cph(object, newdata, se.fit=TRUE, conf.int=0.95, 
            individual=FALSE, type, vartype,
            conf.type=c("log-log", "log", "plain", "none"))

ARGUMENTS:

object
a fit object from cph or coxph see
newdata
se.fit
conf.int
individual
type
vartype
conf.type
see

VALUE:

see survfit.coxph

SEE ALSO: