survCompetingRisk-package: Evaluating Prognostic Markers under Competing Risk

In mdbrown/survCompetingRisk: Evaluating Prognostic Markers under Competing Risk

Description

This package aims to help to 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.

Details

Package:	survCompetingRisk
Type:	Package
Version:	1.1
Date:	2012-06-22
License:	GPL-2

There are five main functions in this package:

1. comprisk.ROC: Calculate the values needed to plot the ROC curve, along with the AUC.

2. comprisk.ROC.CI: Calculate bootstrap confidence intervals for a given set of TPR or FPR values.

3. comprisk.AUC.CI: Calculate bootstrap confidence intervals for the AUC.

4. comprisk.PPV: Calculate PPV and NPV values.

5. comprisk.PPV.CI: Calculate bootstrap confidence intervals for a given set of PPV, NPV, or v (marker quantile).

Author(s)

Marshall Brown and Yingye Zheng

[e-mail]

References

Zheng Y, Cai T, Jin Y, Feng Z. Evaluating prognostic accuracy of biomarkers under competing risk. Biometrics. 2012 Jun;68(2):388-96.

Zheng Y, Cai T, Feng Z, and Stanford J. Semiparametric Models of Time-dependent Predictive Values of Prognostic Biomarkers. Biometrics. 2010, 66: 50-60.

Examples

#See individual function help files for examples. 

mdbrown/survCompetingRisk documentation built on May 22, 2019, 3:23 p.m.