survfit.cph

0th

Percentile

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 class 'cph':
survfit(formula, newdata, se.fit=TRUE, conf.int=0.95, 
        individual=FALSE, type, vartype,
        conf.type=c('log', "log-log", "plain", "none"), ...)
Arguments
formula
a fit object from cph or coxph see survfit.coxph
newdata
se.fit
conf.int
individual
type
vartype
conf.type
see survfit
...
Not used
Value

  • see survfit.coxph

See Also

survest.cph

Aliases
  • survfit.cph
Documentation reproduced from package rms, version 2.0-2, License: GPL (>= 2)

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