Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics
作者： Daniel Yekutieli , Yoav Benjamini
DOI: 10.1016/S0378-3758(99)00041-5
关键词: Statistics 、 Closed testing procedure 、 Per-comparison error rate 、 Mathematics 、 False discovery rate 、 p-value 、 Data mining 、 False coverage rate 、 Multiple comparisons problem 、 Resampling 、 Statistical hypothesis testing
摘要: A new false discovery rate controlling procedure is proposed for multiple hypotheses testing. The procedure makes use of resampling-based p-value adjustment, and is designed to …
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