Calls survAUC::UnoC().

Assumes random censoring.

Format

R6::R6Class() inheriting from 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

MeasureSurvUnoC$new(times, lp_thresh)
mlr_measures$get("surv.unoC")
msr("surv.unoC")
  • 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.

  • lp_thresh :: numeric(1)
    Determines where to threshold the linear predictor for calculating the TPR/TNR.

Meta Information

  • Type: "surv"

  • Range: \([0, 1]\)

  • Minimize: FALSE

  • Required prediction: crank

Fields

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

References

Uno, H., T. Cai T, M. J. Pencina, R. B. D'Agostino and W. L. Wei. (2011).
On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data.
Statistics in Medicine. 30(10): 1105–1117.
doi: 10.1002/sim.4154

See also