JSM 2005 - Toronto

Abstract #303630

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 328
Type: Contributed
Date/Time: Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #303630
Title: Parametric Linkage Analysis and Maximum Likelihood Principle
Author(s): Qimei He*+
Companies: Pacific Health Research Institute
Address: 846 S Hotel Street, Honolulu, HI, 96813, United States
Keywords: parametric linkage analysis ; Maximum likelihood ; LOD score
Abstract:

Parametric linkage analysis is an important method for genetic linkage analysis. It is based on the mathematical theory of maximum likelihood principle. The traditional inference of parametric linkage analysis based on the LOD score uses one degree of freedom. In the case of complete penetrance, this is correct. In the cases of incomplete penetrance, the degree of freedom should depend on the numbers of parameters in the model and should be more than one. Also, the popular software used in the parametric linkage analysis such as Linkage, Fast Link, and GeneHunter treat some of the unknown parameters as if they are fixed and known, which also affects the inference. I discuss the impact of these issues and suggest ways to improve the parametric linkage analysis.

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