sksurv.nonparametric.CensoringDistributionEstimator¶
-
class
sksurv.nonparametric.
CensoringDistributionEstimator
[source]¶ Kaplan–Meier estimator for the censoring distribution.
Methods
__init__
()Initialize self.
fit
(y)Estimate censoring distribution from training data.
predict_ipcw
(y)Return inverse probability of censoring weights at given time points.
predict_proba
(time)Return probability of an event after given time point.
-
fit
(y)[source]¶ Estimate censoring distribution from training data.
- Parameters
y (structured array, shape = (n_samples,)) – A structured array containing the binary event indicator as first field, and time of event or time of censoring as second field.
- Returns
- Return type
self
-
predict_ipcw
(y)[source]¶ Return inverse probability of censoring weights at given time points.
\(\omega_i = \delta_i / \hat{G}(y_i)\)
- Parameters
y (structured array, shape = (n_samples,)) – A structured array containing the binary event indicator as first field, and time of event or time of censoring as second field.
- Returns
ipcw – Inverse probability of censoring weights.
- Return type
array, shape = (n_samples,)
-