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.
Sievenpiper, Sonia Blanco Mejia, Hoang Vi Thanh Ho, Dandan Li, Alexandra L
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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.