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Comparison of statistics in association tests of genetic markers for survival outcomes

Mendolia, F. and Klein, J.P. and Petersdorf, E.W. and Malkki, M. and Wang, T. (2013) Comparison of statistics in association tests of genetic markers for survival outcomes. Statistics in Medicine. Wiley. ISSN 0277-6715

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Abstract

Computationally efficient statistical tests are needed in association testing of large scale genetic markers for survival outcomes. In this study, we explore several test statistics based on the Cox proportional hazards model for survival data. First, we consider the classical partial likelihood-based Wald and score tests. A revised way to compute the score statistics is explored to improve the computational efficiency. Next, we propose a Cox–Snell residual-based score test, which allows us to handle the controlling variables more conveniently. We also illustrated the incorporation of these three tests into a permutation procedure to adjust for the multiple testing. In addition, we examine a simulation-based approach proposed by Lin (2005) to adjust for multiple testing. We presented the comparison of these four statistics in terms of type I error, power, family-wise error rate, and computational efficiency under various scenarios via extensive simulation.

Item URL in elib:https://elib.dlr.de/86484/
Document Type:Article
Title:Comparison of statistics in association tests of genetic markers for survival outcomes
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Mendolia, F.franco.mendolia (at) dlr.deUNSPECIFIED
Klein, J.P.UNSPECIFIEDUNSPECIFIED
Petersdorf, E.W.UNSPECIFIEDUNSPECIFIED
Malkki, M.UNSPECIFIEDUNSPECIFIED
Wang, T.UNSPECIFIEDUNSPECIFIED
Date:2013
Journal or Publication Title:Statistics in Medicine
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Publisher:Wiley
ISSN:0277-6715
Status:Published
Keywords:survival outcome; Cox proportional hazard model; Cox–Snell residuals; multiple testing; genetic markers
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:ATM and Operation (old)
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Human Factors and Safety in Aeronautics (old)
Location: Köln-Porz
Institutes and Institutions:Institute of Aerospace Medicine > Flight Physiology
Deposited By: Sender, Alina
Deposited On:20 Dec 2013 10:56
Last Modified:08 Mar 2018 18:33

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