mlr_measures_surv.song_tpr: Song and Zhou's TPR Survival Measure

In mlr-org/mlr3proba: Probabilistic Supervised Learning for 'mlr3'

Song and Zhou's TPR Survival Measure

Description

Calls survAUC::sens.sh().

Assumes Cox PH model specification.

times and lp_thresh are arbitrarily set to 0 to prevent crashing, these should be further specified.

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 some of these measures may 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():

MeasureSurvSongTPR$new()
mlr_measures$get("surv.song_tpr")
msr("surv.song_tpr")

Parameters

Id	Type	Default	Levels	Range
times	numeric	-		[0, \infty)
lp_thresh	numeric	0		(-\infty, \infty)
type	character	incident	incident, cumulative	-

Meta Information

• Type: "surv"

• Range: [0, 1]

• Minimize: FALSE

• Required prediction: lp

Parameter details

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

• lp_thresh (numeric(1))
  Determines the cutoff threshold of the linear predictor in the calculation of the TPR/TNR scores.

Super classes

mlr3::Measure -> mlr3proba::MeasureSurv -> mlr3proba::MeasureSurvAUC -> MeasureSurvSongTPR

Methods

Public methods

• MeasureSurvSongTPR$new()

• MeasureSurvSongTPR$clone()

Inherited methods

• mlr3::Measure$aggregate()
• mlr3::Measure$format()
• mlr3::Measure$help()
• mlr3::Measure$print()
• mlr3::Measure$score()

---

Method new()

Creates a new instance of this R6 class.

Usage

MeasureSurvSongTPR$new()

---

Method clone()

The objects of this class are cloneable with this method.

Usage

MeasureSurvSongTPR$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

References

Song, Xiao, Zhou, Xiao-Hua (2008). “A semiparametric approach for the covariate specific ROC curve with survival outcome.” Statistica Sinica, 18(3), 947–65. https://www.jstor.org/stable/24308524.

See Also

Other survival measures: mlr_measures_surv.calib_alpha, mlr_measures_surv.calib_beta, mlr_measures_surv.calib_index, mlr_measures_surv.chambless_auc, mlr_measures_surv.cindex, mlr_measures_surv.dcalib, mlr_measures_surv.graf, mlr_measures_surv.hung_auc, mlr_measures_surv.intlogloss, mlr_measures_surv.logloss, mlr_measures_surv.mae, mlr_measures_surv.mse, mlr_measures_surv.nagelk_r2, mlr_measures_surv.oquigley_r2, mlr_measures_surv.rcll, mlr_measures_surv.rmse, mlr_measures_surv.schmid, mlr_measures_surv.song_auc, mlr_measures_surv.song_tnr, mlr_measures_surv.uno_auc, mlr_measures_surv.uno_tnr, mlr_measures_surv.uno_tpr, mlr_measures_surv.xu_r2

Other AUC survival measures: mlr_measures_surv.chambless_auc, mlr_measures_surv.hung_auc, mlr_measures_surv.song_auc, mlr_measures_surv.song_tnr, mlr_measures_surv.uno_auc, mlr_measures_surv.uno_tnr, mlr_measures_surv.uno_tpr

Other lp survival measures: mlr_measures_surv.calib_beta, mlr_measures_surv.chambless_auc, mlr_measures_surv.hung_auc, mlr_measures_surv.nagelk_r2, mlr_measures_surv.oquigley_r2, mlr_measures_surv.song_auc, mlr_measures_surv.song_tnr, mlr_measures_surv.uno_auc, mlr_measures_surv.uno_tnr, mlr_measures_surv.uno_tpr, mlr_measures_surv.xu_r2

mlr-org/mlr3proba documentation built on April 12, 2025, 4:38 p.m.