|
Activity Number:
|
528
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Thursday, August 2, 2007 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Statistics in Epidemiology
|
| Abstract - #309374 |
|
Title:
|
Time-Dependent Receiver Operating Characteristic Curves for Early Markers of Event Time Outcomes
|
|
Author(s):
|
Yuying Jin*+ and Margaret Pepe and Yingye Zheng
|
|
Companies:
|
University of Washington and Fred Hutchinson Cancer Research Center and Fred Hutchinson Cancer Research Center
|
|
Address:
|
Department of Biostatistics, F-600 Health Sciences Building, Seattle, WA, 98195,
|
|
Keywords:
|
time-dependent ROC ; bias ; efficiency ; sensitivity ; specificity
|
|
Abstract:
|
The received operating characteristic (ROC) curve is a popular diagnostic tool assessing the diagnostic accuracy of a putative biomarker. When a biomarker is used for prognosis, often the marker is not measured concurrently with disease outcome. Further the disease onset time can be censored. Therefore the classic concept of ROC curves needs to be extended to integrate both the time-varying nature of the marker and the clinical onset time of the disease. Naïve estimates of predictive accuracy ignore the censoring can be biased. Incorporating the time dimension in ROC curve analysis has recently been an area of active research. We contrast the forms and attributes of various time-dependent ROC estimators discussed in the literature. The bias and efficiency of these estimators are investigated in simulation studies. Recommendations for their uses in practical situations are given.
|
