Calls survAUC::AUC.sh().

Assumes Cox PH model specification.

Format

R6::R6Class() inheriting from MeasureSurvAUC/MeasureSurv.

Details

All measures implemented from survAUC should be used with care, we are aware of problems in implementation that sometimes cause fatal errors in R. In future updates these measures will all be re-written and implemented directly in mlr3proba.

Construction

MeasureSurvSongAUC$new(integrated = TRUE, times, type = c("incident","cumulative"))
mlr_measures$get("surv.songAUC")
msr("surv.songAUC")
  • integrated :: logical(1)
    If TRUE (default), returns the integrated score; otherwise, not integrated.

  • times :: vector()
    If integrate == TRUE then a vector of time-points over which to integrate the score. If integrate == FALSE then a single time point at which to return the score.

  • type :: character(1)
    Determines the type of score, one of: 'cumulative', 'incident'. Default 'incident'.

Meta Information

  • Type: "surv"

  • Range: \([0, 1]\)

  • Minimize: FALSE

  • Required prediction: lp

Fields

See MeasureSurv, as well as all variables passed to the constructor.

References

Song, X. and X.-H. Zhou (2008).
A semiparametric approach for the covariate specific ROC curve with survival outcome.
Statistica Sinica 18, 947–965.

See also