Independent hypothesis weighting (IHW) is a multiple testing procedure that increases power compared to commonly used alternatives for false discovery rate (FDR) control by assigning data-driven weights to each hypothesis.  The IHW software package provide a mechanism that allows the methodology to be applied to many different data types.



Wolfgang Huber (This email address is being protected from spambots. You need JavaScript enabled to view it.)

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