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A power comparison of the association tests for genome-wide association studies
被引:0
|作者:
Postovalov, Sergey
[1
]
Metge, R. Wyler
[1
]
机构:
[1] Novosibirsk State Tech Univ, Dept Theoret & Appl Informat, Novosibirsk, Russia
来源:
2016 11TH INTERNATIONAL FORUM ON STRATEGIC TECHNOLOGY (IFOST), PTS 1 AND 2
|
2016年
关键词:
Sequential study design;
genetic association;
robust statistical test;
genetic model selection;
computer simulation;
SAMPLE-SIZE;
SELECTION;
D O I:
暂无
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
The paper presents the statistical association criteria applicable at the genome-wide association analysis. The results of power calculation are presented for different alternative hypotheses.
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页数:4
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