This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 676
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #308180
Title: Nonparametric Approaches to ROC Regression
Author(s): Sean Devlin*+ and Scott Emerson
Companies: University of Washington and University of Washington
Address: Department of Biostatistics, Seattle , WA, 98112,
Keywords: nonparametric regression ; ROC ; diagnostic tests

The receiver operating characteristic (ROC) curve is a tool of particular use in disease status classification with a continuous medical test (marker). Various parametric and semi-parametric models of the ROC curve have been developed to compare the discriminatory ability of a marker across covariates. These methods have focused on either modeling the marker distributions, which induces an ROC curve, or modeling the ROC curve directly (ROC-GLM). In this talk, we present analogous nonparametric approaches to ROC regression using regression trees. We compare these approaches in a simulation study, and display the results using CARTScans.

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 2010 program

2010 JSM Online Program Home

For information, contact or phone (888) 231-3473.

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