Permutation-based multiple testing when fitting many generalized linear models

Riccardo De Santis,Jelle J. Goeman, Samuel Davenport,Jesse Hemerik,Livio Finos

arxiv（2024）

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摘要

The multiple testing problem appears when fitting multivariate generalized linear models for high dimensional data. We show that the sign-flip test can be combined with permutation-based procedures for assessing the multiple testing problem

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