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

翻译：在高维数据拟合多元广义线性模型时会出现多重检验问题。我们证明，符号翻转检验可与基于排列的程序相结合，用于评估多重检验问题。