Hung and Chiang's AUC Survival Measure

Calls survAUC::AUC.hc().

Assumes random censoring.

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.

Dictionary

This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():

MeasureSurvHungAUC$new()
mlr_measures$get("surv.hungAUC")
msr("surv.hungAUC")

Meta Information

• Type: "surv"

• Range: \([0, 1]\)

• Minimize: FALSE

• Required prediction: lp

References

Hung H, Chiang C (2010). “Estimation methods for time-dependent AUC models with survival data.” The Canadian Journal of Statistics / La Revue Canadienne de Statistique, 38(1), 8--26. http://www.jstor.org/stable/27805213.

See also

Other survival measures: MeasureSurvBeggC, MeasureSurvChamblessAUC, MeasureSurvGonenC, MeasureSurvGrafSE, MeasureSurvGraf, MeasureSurvHarrellC, MeasureSurvIntLoglossSE, MeasureSurvIntLogloss, MeasureSurvLoglossSE, MeasureSurvLogloss, MeasureSurvMAESE, MeasureSurvMAE, MeasureSurvMSESE, MeasureSurvMSE, MeasureSurvNagelkR2, MeasureSurvOQuigleyR2, MeasureSurvRMSESE, MeasureSurvRMSE, MeasureSurvSongAUC, MeasureSurvSongTNR, MeasureSurvSongTPR, MeasureSurvUnoAUC, MeasureSurvUnoC, MeasureSurvUnoTNR, MeasureSurvUnoTPR, MeasureSurvXuR2

Other AUC survival measures: MeasureSurvChamblessAUC, MeasureSurvSongAUC, MeasureSurvSongTNR, MeasureSurvSongTPR, MeasureSurvUnoAUC, MeasureSurvUnoTNR, MeasureSurvUnoTPR

Other lp survival measures: MeasureSurvBeggC, MeasureSurvChamblessAUC, MeasureSurvGonenC, MeasureSurvNagelkR2, MeasureSurvOQuigleyR2, MeasureSurvSongAUC, MeasureSurvSongTNR, MeasureSurvSongTPR, MeasureSurvUnoAUC, MeasureSurvUnoTNR, MeasureSurvUnoTPR, MeasureSurvXuR2

Super classes

mlr3::Measure -> mlr3proba::MeasureSurv -> mlr3proba::MeasureSurvIntegrated -> mlr3proba::MeasureSurvAUC -> MeasureSurvHungAUC

Methods

Public methods

• MeasureSurvHungAUC$new()

• MeasureSurvHungAUC$clone()

Inherited methods

• mlr3::Measure$aggregate()

• mlr3::Measure$format()

• mlr3::Measure$help()

• mlr3::Measure$print()

• mlr3::Measure$score()

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Method new()

Creates a new instance of this R6 class.

Usage

MeasureSurvHungAUC$new(integrated = TRUE, times)

Arguments

integrated

(logical(1))
If TRUE (default), returns the integrated score; otherwise, not integrated.

times

(numeric())
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.

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Method clone()

The objects of this class are cloneable with this method.

Usage

MeasureSurvHungAUC$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.