ste: Surrogate threshold effect

View source: R/predict.R

steR Documentation

Surrogate threshold effect

Description

The function ste() computes the surrogate threshold effect (STE) of a .

Usage

ste(x, models = names(x), exact.models)

## S3 method for class 'steSurrosurv'
print(x, digits = 2, ...)

Arguments

x

The fitted models, an object of class surrosurv

models, exact.models

Which models should be fitted (see surrosurv())

digits

the number of digits

...

Further parameters to be passed to the generic print() function

Value

An object of class steSurrosurv

Author(s)

Federico Rotolo [aut] (<https://orcid.org/0000-0003-4837-6501>), Xavier Paoletti [ctb], Marc Buyse [ctb], Tomasz Burzykowski [ctb], Stefan Michiels [ctb] (<https://orcid.org/0000-0002-6963-2968>), Dan Chaltiel [cre] (<https://orcid.org/0000-0003-3488-779X>)

References

Burzykowski T, Buyse M. Surrogate threshold effect: an alternative measure for meta-analytic surrogate endpoint validation. Pharm Stat. 2006;5(3):173-86. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/pst.207")}

Examples

  ## Not run: 
  # Possibly long computation time!
  data('gastadv')
  mod <- surrosurv(gastadv, 'Clayton')
  ste(mod)
  
## End(Not run)

surrosurv documentation built on April 14, 2023, 9:09 a.m.