survAccuracyMeasures: Estimate the AUC, TPR(c), FPR(c), PPV(c), and NPV(c) for for a specific timepoint and marker cutoff value c using non-parametric and semi-parametric methods. Bootstrap standard errors and confidence intervals are also computed.
survMarkerTwoPhase: Evaluate the prognostic accuracy of a marker under two phase designs (case-cohort and nested case control designs).
survCompetingRisk: Evaluate the prognostic accuracy of a marker with multiple competing risk events. Functions to calculate the AUC, ROC, PPV, and NPV are provided. A discrete covariate Z, if available, can be included.
survNRI: Calculate the net reclassification index (NRI) statistic for survival data using five different estimators.
Shiny web applications to simulate power for risk prediction accuracy measures for time-to-event data using semi-parametric accuracy estimates.