JSM 2012 Home

JSM 2012 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Online Program Home

Abstract Details

Activity Number: 654
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Risk Analysis
Abstract - #306457
Title: IDI Analysis for Competing-Risk Censored Outcomes
Author(s): Haiwen Shi*+ and Yu Cheng
Companies: University of Pittsburgh and University of Pittsburgh
Address: Department of Statistics, Pittsburgh, PA, 15260, United States
Keywords: Competing risk ; Area under the receiver operating characteristic curve ; Bivariate survival function ; Bivariate cumulative incidence function ; Integrated discrimination improvement ; Improvement in the area under the curve

In this paper we investigate a complementary criterion to the Area Under the Receiver Operating Characteristic curve for evaluating the added value of new markers over conventional predictors for an event outcome. Uno et al. (2009) considered the highly cited criterion Integrated Discrimination Improvement (IDI) by Pencina et al. (2008), and proposed an inverse weighting estimator for IDI based on conditional distributions of the difference in predicted risks with and without new markers, given that subjects have or have not developed the event. We propose alternative estimators for the conditional distributions using the Dabrowska estimator for bivariate survival functions (Dabrowska, 1988). Furthermore, we extend Uno's estimators to a competing risk setting where the outcome of interest is subject to competing-risk censoring. We consider fitting regression models based on the cumulative incidence function (CIF) for the primary event. Parallel estimators are also proposed based on the bivariate CIF estimators that were developed in Cheng et al. (2007). Both estimators perform well in simulation studies and in an application to a breast cancer dataset.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2012 program

2012 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.