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Annotated Bibliography of Some Papers on Combining Significances or p-values
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A question that comes up repeatedly is how to combine the results of two experiments if all that is known is that one experiment had a n-sigma effect and another experiment had a m-sigma effect. This question is not well-posed: depending on what additional assumptions are made, the preferred answer is different. The note lists some of the more prominent papers on the topic, with some brief comments and excerpts.
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Score Combining for Contrastive OOD Detection
A GLRT-based score-combining rule slightly improves average AUROC and detection rate over CSI/SupCSI and classical p-value combination methods in dataset-vs-dataset and leave-one-class-out OOD experiments.
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