Article

StickForStats: automated statistical assumption validation for reproducible computational biology

2026-06-19

Abstract excerpt

Reproducible computational biology depends on statistical decisions that routine workflows often skip: verifying that a differential-expression test’s assumptions hold across all genes, that a strategy-comparison ANOVA is robust to non-normality, or that a meta-analysis is not distorted by publication bias. Surveys consistently find that fewer than 20% of published biomedical studies report checking these assumpti...

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Literature Corpus work: cf0ef7c7-0530-5ab2-9c91-1ed08c524684
DOI: 10.64898/2026.06.15.732278

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