mlr_measures_surv.calib_beta | R Documentation |
This calibration method fits the predicted linear predictor from a Cox PH model as the only predictor in a new Cox PH model with the test data as the response.
h(t|x) = h_0(t)exp(lβ)
where l is the predicted linear predictor.
The model is well calibrated if the estimated β coefficient is equal to 1.
Assumes fitted model is Cox PH.
This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():
MeasureSurvCalibrationBeta$new() mlr_measures$get("surv.calib_beta") msr("surv.calib_beta")
Type: "surv"
Range: (-Inf, Inf)
Minimize: FALSE
Required prediction: lp
mlr3::Measure
-> mlr3proba::MeasureSurv
-> MeasureSurvCalibrationBeta
new()
Creates a new instance of this R6 class.
MeasureSurvCalibrationBeta$new()
clone()
The objects of this class are cloneable with this method.
MeasureSurvCalibrationBeta$clone(deep = FALSE)
deep
Whether to make a deep clone.
Van Houwelingen, C. H (2000). “Validation, calibration, revision and combination of prognostic survival models.” Statistics in Medicine, 19(24), 3401–3415. doi: 10.1002/1097-0258(20001230)19:24<3401::AID-SIM554>3.0.CO;2-2.
Other survival measures:
mlr_measures_surv.calib_alpha
,
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.song_tpr
,
mlr_measures_surv.uno_auc
,
mlr_measures_surv.uno_tnr
,
mlr_measures_surv.uno_tpr
,
mlr_measures_surv.xu_r2
Other calibration survival measures:
mlr_measures_surv.calib_alpha
,
mlr_measures_surv.dcalib
Other lp survival measures:
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.song_tpr
,
mlr_measures_surv.uno_auc
,
mlr_measures_surv.uno_tnr
,
mlr_measures_surv.uno_tpr
,
mlr_measures_surv.xu_r2
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