American Statistical Association
Logistic regression is widely used to model a binary variable as a function of various covariates. The model fit is often characterized using the area under the ROC curve (AUC) for that model. When the AUCs for multiple models are presented, an implicit comparison is done by the reader. In this talk, we will present the characteristics of this comparison.
|Date:||Wednesday, November 17, 2010|
|Time:||4:00 - 5:00 P.M.|
Memorial Sloan-Kettering Cancer Center
Department of Epidemiology and Biostatistics
307 East 63rd Street
(between First and Second Avenues)
New York, New York
Note: To gain access to the building, please follow the directions by the telephone in the foyer.