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 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 time-dependent covariate paths. To get predictions for multiple subjects with time-dependent covariates, specify a vector id which specifies unique hypothetical subjects. The length of id should equal the number of rows in newdata.

Not used

Value

see survfit.coxph

See Also

survest.cph

Aliases
  • survfit.cph
Documentation reproduced from package rms, version 5.1-4, License: GPL (>= 2)

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