JSM 2005 - Toronto

Abstract #303953

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 322
Type: Contributed
Date/Time: Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #303953
Title: Nonparametric Survival Analysis on Time-dependent Covariate Effect
Author(s): Koji Fujiwara*+ and Chunfeng Huang
Companies: North Dakota State University and North Dakota State University
Address: 1212 2nd Ave S Apt 23, Moorhead, MN, 56560, United States
Keywords: Survival Analysis ; Spline ; Kalman Filter ; Simulation ; Cox's model
Abstract:

A nonparametric smoothing spline estimator is proposed to study the time-dependent covariate effects on the survival time in Cox's regression model. The estimator is the maximizer of a penalized partial likelihood. An efficient algorithm to compute the resultant estimator for the general order of m smoothing splines through the Kalman Filter is developed. A simulation study based on the algorithm is conducted to investigate the Generalized Crossvalidation smoothing parameter selection method.

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