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2dFDR: A new approach to confounder adjustment substantially increases detection power in omics association studies

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One challenge facing omics association studies is the loss of statistical power when adjusting for confounders and multiple testing. The traditional statistical procedure involves fitting a confounder-adjusted regression model for each omics feature, followed by multiple testing correction.

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Nội dung Text: 2dFDR: A new approach to confounder adjustment substantially increases detection power in omics association studies

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