American Statistical Association
Concordance probability is commonly used to quantify the predictive accuracy of a marker. Estimators of concordance probability are well studied for binary outcomes but their extensions to censored data have been problematic. In this talk, we will propose an estimator based on the Kaplan-Meier estimate of the survival function and explore its properties. Colorectal cancer staging will be used as an example for illustration.
|Date:||Wednesday, October 10, 2007|
|Time:||4:00 P.M. - 5:00 P.M.|
Memorial Sloan-Kettering Cancer Center
Department of Epidemiology and Biostatistics
307 East 63rd Street
(between First and Second Avenues)
3rd Floor Conference Room
New York, New York
Note: To gain access to the building, please follow the directions by the telephone in the foyer.