Talks

Statistical Methodology

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Pseudo-Partial Likelihood Estimators for Cox Regression Model With Missing Covariates
Prof. Wei-Yann Tsai ( Department of Biostatistics, Columbia University, USA )

2008 - 03 - 21 (Fri.)
14:30 - 17:00
502, Freshman Classroom Building

By embedding the missing covariate data into a left-truncated and right-censored survival model, a new class of weighted estimating functions is proposed for Cox regression model with missing covariates. The resulting estimators, called the pseudo- partial likelihood estimators (PPLEs), are shown to be consistent and asymptotically normal. Simulation study demonstrates that PPLEs, compared with the popular inverse probability weighted estimators, have better performance when the observation probability is small, and improve efficiency of estimating the missing covariate effects. A real data example is applied to illustrate the use of PPLEs.

Time:November 20, 2007 - July 31, 2009
Room:
Organizer:Hung Chen ( Department of Mathematics, National Taiwan University )

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