A systematic comparison of methods for combining p

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Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift (2018, methodology): “While several less conservative aggregations methods have been proposed [18, 32, 46, 53, 55], they typically require assumptions on the dependencies among the tests.”
DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2012, methodology): “This was done for each participant separately and, assuming independence [39], the 32 resulting p-values per correlation direction (positive/ negative), frequency band, and electrode were then combined to one p-value via Fisher’s method [40].”
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups (2017, methodology): “Assuming independence, the resulting p -values were combined to one p -value using Fisher’s method [55].”
Choosing between methods of combining p-values (2017, methodology): “istribution translates to lower sensitivity to extreme p-values. Which combination method should be used? Several simulation studies investigating this question have been published; see, for example, Loughin (2004) and Kocak (2017). However, each of the combiners discussed in those studies and here ”