A1244
Title: Estimation, regression and prediction for semi-competing risks data with left truncation
Authors: Rebecca Betensky - New York University (United States) [presenting]
Jing Qian - University of Massachusetts, Amherst (United States)
Abstract: Nonparametric estimation for semi-competing risks data are discussed, including regression analysis and prediction. Estimation is additionally examined when risk is intermittent or unknown. Left truncation is considered, as well as various censoring models. Methods in simulation and in application to Alzheimer's disease data are evaluated.
