SCORNET-package: SCORNET: A novel non-parametric survival curve estimator for...
In SCORNET: Semi-Supervised Calibration of Risk with Noisy Event Times
Description
Semi-Supervised Calibration of Risk with Noisy Event Times (SCORNET) is a consistent, non-parametric
survival curve estimator that boosts efficiency over existing non-parametric estimators
by (1) utilizing unlabeled patients in a semi-supervised fashion, and (2) leveraging
information-dense engineered EHR features to maximize unlabeled set imputation precision
See Ahuja et al. (2020) BioArxiv for details
SCORNET documentation built on Jan. 5, 2021, 1:08 a.m.
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Description
Semi-Supervised Calibration of Risk with Noisy Event Times (SCORNET) is a consistent, non-parametric survival curve estimator that boosts efficiency over existing non-parametric estimators by (1) utilizing unlabeled patients in a semi-supervised fashion, and (2) leveraging information-dense engineered EHR features to maximize unlabeled set imputation precision See Ahuja et al. (2020) BioArxiv for details
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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