A cross-validated, perturbation-resampling method to estimate and make inference on the predictiveness curve of a competing risks prediction model, with simulations and a cirrhosis application.
The binary regression quantile plot: assessing the importance of predictors in binary regression visually
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Predictiveness Curve Assessment under Competing Risks for Risk Prediction Models
A cross-validated, perturbation-resampling method to estimate and make inference on the predictiveness curve of a competing risks prediction model, with simulations and a cirrhosis application.