Matt Hester
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Matt Hester's research focuses on developing and applying robust workflows for quantifying evidential rigor in meta-analytic corpora. His work, exemplified by publications in 2026, introduces an evidential audit workflow, including RoBMA-PSMA and RoBMA 4.0. This methodology is designed to be simulation-characterized and bias-robust, utilizing Bayesian approaches. A case study in nutrition demonstrates the practical application of this workflow for assessing the reliability of evidence within research synthesis. Hester's scholarship contributes to the methodological advancements in systematic reviews and meta-analyses, aiming to enhance the trustworthiness of synthesized research findings.
Metrics
- Publications: 4
Selected Publications
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Quantifying Evidential Rigor in Meta-Analytic Corpora: A Simulation-Characterized, Bias-Robust Bayesian Workflow with a Nutrition Case Study (2026)arXiv (Cornell University) OpenAlex
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Evidential Audit Workflow (RoBMA-PSMA, RoBMA 4.0) (2026)
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Evidential Audit Workflow (RoBMA-PSMA, RoBMA 4.0) (2026)
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