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rms (version 4.1-3)

survfit.cph: 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.

Usage

## S3 method for class '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 or coxph see survfit.coxph
newdata,se.fit,conf.int,individual,type,vartype,conf.type,id
see survfit. If individual is TRUE, there must be exactly one Surv object in newdata. This object is used to specify time intervals for t
...
Not used

Value

  • see survfit.coxph

See Also

survest.cph