| survfit.cph {Design} | R Documentation |
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".
survfit.cph(object, newdata, se.fit=TRUE, conf.int=0.95,
individual=FALSE, type, vartype,
conf.type=c("log-log", "log", "plain", "none"))
object |
a fit object from cph or coxph
see survfit.coxph
|
newdata |
|
se.fit |
|
conf.int |
|
individual |
|
type |
|
vartype |
|
conf.type |
see survfit |
see survfit.coxph