American Statistical Association
Although widely used for complete data, kernel methods are rarely used in practice for the estimation of the density function from right censored data. This is presumably due to the lack of appropriate software. Also, while the theoretical properties of the kernel-based estimators for density functions from right-censored data have been carefully studied, their practical statistical properties have not. We reviewed various kernel-based methods for density function estimation from right-censored data and compared the statistical properties of these estimators through computer simulations. We also provide software to implement the estimators we studied.
|Date:||Wednesday, March 25, 2009|
|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)
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.