Introduces a corpus-scale Bayesian evidential-audit workflow that defines rigor as combined Bayes-factor evidence for effect or no-effect plus absence of explicit bias components, validated via simulations and applied to a nutrition corpus.
Dietary fiber effects in chronic kidney disease: A systematic review and meta-analysis of controlled feeding trials
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Quantifying Evidential Rigor in Meta-Analytic Corpora: A Simulation-Characterized, Bias-Robust Bayesian Workflow with a Nutrition Case Study
Introduces a corpus-scale Bayesian evidential-audit workflow that defines rigor as combined Bayes-factor evidence for effect or no-effect plus absence of explicit bias components, validated via simulations and applied to a nutrition corpus.