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Activity Number: 103
Type: Contributed
Date/Time: Monday, August 7, 2006 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #306527
Title: FSR Methods in the Cox Proportional Hazards Model
Author(s): Yun Chen*+ and Dennis A. Boos and Leonard A. Stefanski
Companies: North Carolina State University and North Carolina State University and North Carolina State University
Address: 1911 Wolf Tech Lane, Apt. 304, Raleigh, NC, 27603,
Keywords: false selection rate (FSR) ; SCAD ; LASSO ; the Cox model ; model selection
Abstract:

We study the performance of the False Selection Rate (FSR) method under the Cox proportional hazards model. The FSR method introduced by Wu, Boos and Stefanski (2004) controls the proportion of uninformative variables in a regression model by adding a number of pseudo variables to the original data set and monitoring the proportion of pseudo variables selected. For the Cox model, the FSR method with forward selection is compared to SCAD (Fan and Li, 2001, 2002), LASSO (Tibshirani, 1996, 1997), and forward selection with AIC and BIC. In addition, we present a new approach to estimating the tuning parameters of SCAD and LASSO based on the FSR.


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