American Statistical Association
In many biomedical applications a primary goal is to predict incident or future cases and appropriate descriptive measures that characterize predictive potential or incremental value are needed. We first review non-parametric methods proposed for incident time-dependent accuracy (Zheng and Heagerty, 2005; Saha and Heagerty, 2013) and then overview extensions of integrated discrimination index (IDI) that are appropriate for hazard models (Liang and Heagerty, 2017). New methods are connected to information theory-based criteria for model choice. Non-parametric estimation is outlined and application to benchmark data sets is presented to illustrate the methodology.
|Date:||Wednesday, May 29, 2019|
|Time:||4:00 - 5:00 P.M.|
Memorial Sloan Kettering Cancer Center
Department of Epidemiology and Biostatistics
485 Lexington Avenue
(Between 46th & 47th Streets)
2nd Floor, Conference Room B
New York, New York
**Outside visitors please email email@example.com for building access. You must be on the security list to enter the floor.