Construct Nomograms for Competing Risks Regression Models
ANOVA Table for a Competing Risks Regression Model
Concordance Index Calculation (C-Index)
Fit A Competing Risks Regression Model
Assess Calibration for a Competing Risks Endpoint
Change the Predictor Labels for a Competing Risks Regression Model
Change the Level Labels of Categorical Predictors for a Competing Risk...
Construct a Nomogram for a Competing Risks Regression Model
Construct a Nomogram for a Regression Model
Extract Cumulative Incidence Estimates at a Specified Time Point
Calculate the Failure Time Probability from a Competing Risks Regressi...
Generate a Prediction Equation for a Competing Risks Regression Model
Summary of a Competing Risks Regression Model
Obtain K-Fold Cross-Validated Predictions
Nomograms are constructed to predict the cumulative incidence rate which is calculated after adjusting for competing causes to the event of interest. K-fold cross-validation is implemented to validate predictive accuracy using a competing-risk version of the concordance index. Methods are as described in: Kattan MW, Heller G, Brennan MF (2003).
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