A weighted FDR procedure under discrete and heterogeneous null distributions

@article{Chen2020AWF,
  title={A weighted FDR procedure under discrete and heterogeneous null distributions},
  author={Xiongzhi Chen and Rebecca W. Doerge and Sanat K. Sarkar},
  journal={Biometrical Journal},
  year={2020},
  volume={62},
  pages={1544 - 1563}
}
Multiple testing (MT) with false discovery rate (FDR) control has been widely conducted in the “discrete paradigm” where p‐values have discrete and heterogeneous null distributions. However, in this scenario existing FDR procedures often lose some power and may yield unreliable inference, and for this scenario there does not seem to be an FDR procedure that partitions hypotheses into groups, employs data‐adaptive weights and is nonasymptotically conservative. We propose a weighted p‐value‐based… 

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