TalksStatistical Methodology
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Nonparametric Estimation Methods for the Optimal Composite Markers with Censored Survival Data
Prof. Hung Hung ( Graduate Institute of Epidemiology and Preventive Medicine, National Taiwan University )
2008 - 07 - 15 (Tue.)
13:30 - 15:00
308, Mathematics Research Center Building (ori. New Math. Bldg.)
To increase the predictive abilities of several markers on the vital statuses over time, our research interest mainly focuses on seeking appropriate composite markers with the highest time-dependent receiver operating characteristic (ROC) curves. An extended generalized linear model (EGLM) with time-varying coefficients and an unknown bivariate link function is used to characterize the conditional distribution of the time to CAD-related death. Two nonparametric procedures are proposed to estimate the optimal composite markers, linear predictors in the EGLM model. The estimation methods for the accuracy measurements of the optimal composite markers are also proposed. In this study, we establish the theoretical results of the estimators and examine the corresponding finite sample properties through a series of simulations with different sample sizes, censoring rates, and censoring mechanisms. Our optimization procedures and estimators are further shown to be useful through an application to a prospective cohort study of patients undergoing angiography.
Time:November 20, 2007 - July 31, 2009
Room:
Organizer:Hung Chen ( Department of Mathematics, National Taiwan University )
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