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Annotated Bibliography of Some Papers on Combining Significances or p-values

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arxiv 0705.2209 v2 pith:RCLOKBPP submitted 2007-05-15 physics.data-an

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keywords someeffectexperimentquestionadditionalannotatedanotheranswer
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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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  1. Score Combining for Contrastive OOD Detection

    cs.LG 2025-01 conditional novelty 6.0 of 10

    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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