控制高维数据中调解器选择的错误发现率

Ran Dai1, Ruiyang Li2, Seonjoo Lee3

  • 1Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE 68198, United States.

Biometrics
|July 29, 2024
PubMed
概括

这项研究引入了一种新的方法来选择高维数据中的介质,如神经成像和遗传数据,同时控制错误发现率 (FDR). 该方法在一项大型研究中成功识别了与童年逆境和认知分数相关的大脑连接标记.

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