JSM 2005 - Toronto

Abstract #302638

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 213
Type: Invited
Date/Time: Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor: WNAR
Abstract - #302638
Title: Semiparametric Regression for Longitudinal Data Using Mixing Likelihood
Author(s): Daowen Zhang*+
Companies: North Carolina State University
Address: 2501 Founder's Drive, 203B Patterson Hall, Raleigh, NC, 27695-8203,
Keywords: Longitudinal traits ; QTL mapping ; Smoothig spline
Abstract:

Penalized likelihood approach for semiparametric and nonparametric regression has become a popular tool for analyzing complicated longitudinal data, especially thanks to its connection to linear mixed models. However, in some problems, such as QTL mapping problems with longitudinal traits, the penalized likelihood approach is computationally prohibitive due to the unknown position of the QTL. We propose to estimate the underlying population pattern of the longitudinal traits nonparametrically using a mixing likelihood. The approach is computationally simple and stable. The proposed approach will be evaluated through simulation and illustrated using a QTL dataset.

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Revised March 2005