QHScrnomo (version 3.0.2)

Newlabels.cmprsk: Change the Predictor Labels for a Competing Risks Regression Model

Description

Uses the Newlabels function to change the labels predictors when constructing a nomogram.

Usage

# S3 method for cmprsk
Newlabels(fit, labels, ...)

Value

A new crr.fit object with adjusted labels

Arguments

fit

A model fit by crr.fit

labels

A character vector specifying the new labels for variables in a fit.

...

Other arguments for Newlabels

Author

Changhong Yu. Department of Quantitative Health Sciences, Cleveland Clinic

Details

To give new labels for all variables, you can specify labels of the form labels = c("Age in Years","Cholesterol"), where the list of new labels is assumed to be the length of all main effect-type variables in the fit and in their original order in the model formula. You may specify a named vector to give new labels in any order for a subset of the variables, e.g., labels = c(age = "Age in Years", chol = "Cholesterol").

See Also

Newlevels.cmprsk

Examples

dd <- datadist(prostate.dat)
options(datadist = "dd")
prostate.f <- cph(Surv(TIME_EVENT,EVENT_DOD == 1) ~ TX  + rcs(PSA,3) +
           BX_GLSN_CAT +  CLIN_STG + rcs(AGE,3) +
           RACE_AA, data = prostate.dat,
           x = TRUE, y = TRUE, surv = TRUE,time.inc = 144)
prostate.crr <- crr.fit(prostate.f, cencode = 0, failcode = 1)
prostate.g <- Newlabels(
prostate.crr,
c(
  TX = 'Treatment options',
  BX_GLSN_CAT = 'Biopsy Gleason Score Sum',
  CLIN_STG = 'Clinical stage'
)
)