The KOTHA Framework: a counterfactual simulation and Bayesian integration approach to diagnosing structural information loss in randomized controlled trial meta-analyses
Tatsuki O · 2026 · Preprint
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Abstract Background Discrepancies between observational and randomized controlled trial (RCT) meta-analyses are typically attributed to confounding. An alternative explanation — that RCTs systematically exclude high-risk patients, causing…
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Metadata source: Europe PMC · DOI 10.21203/rs.3.rs-9420092/v1