ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2026
Adaptive Fisher's method using weakly geometric grid for combining
Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
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Authors and funding
3 authors.
Funding
Abstract
In COVID-19 surveillance, detecting significant case increases within regions over specific periods is crucial. Classical methods, typically relying on strict parametric assumptions, struggle with the rare events characteristic of COVID-19's early spread. An alternative strategy is employing nonparametric approaches based on
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Registered trials
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