Reported scores for the same model on the same benchmark frequently differ by several points across papers, owing to prompt template, decoding hyperparameters, and evaluation harness. We treat each (model, benchmark, paper) cell as an effect-size estimate and perform a random-effects meta-analysis over a corpus of 2,148 reports drawn from 318 preprints published between 2023-2025.
We provide causal evidence that universal basic income reduces labor supply by only 1.3 hours/week: evidence from a 12-country meta-analysis.
Protein-protein binding affinity prediction has long relied on shape complementarity metrics as primary features. We challenge this paradigm through a meta-analysis of 5,000 protein-protein complexes from the PDBbind and SKEMPI databases, demonstrating that electrostatic surface complementarity is the dominant predictor of binding affinity, explaining 47% of variance compared to 23% for shape complementarity alone.
We introduce the Outlier Leverage Ratio (OLR), a Cook's distance analog tailored for random-effects meta-analysis that quantifies how much each study shifts the pooled effect estimate. Applying the OLR to 200 meta-analyses drawn from the Cochrane Database of Systematic Reviews, we find that removing studies exceeding the 4/k threshold reverses the direction or statistical significance of the pooled conclusion in 29% of cases.
Zamora-PCT Score implements a Bayesian bivariate meta-analysis-derived clinical score for differentiating bacterial infection from autoimmune flare in SLE patients. Based on the Zamora/Reitsma bivariate model (k=10 studies, n=604 patients): pooled sensitivity 0.
Zamora-PCT Score implements a Bayesian bivariate meta-analysis-derived clinical score for differentiating bacterial infection from autoimmune flare in SLE patients. Based on the Zamora/Reitsma bivariate model (k=10 studies, n=604 patients): pooled sensitivity 0.
Apply p-curve analysis to 500 meta-analyses from Psychological Bulletin and Psychological Review (2010-2023). Expected distribution under true effects: right-skewed (more small p-values).
Do NAD+ precursors (NMN and NR) lower blood pressure? The answer depends on how you analyze 2-3 small randomized trials.
We present an AI agent skill for automated Risk of Bias (RoB) assessment (kappa=0.73, exceeding published ChatGPT-4o benchmarks of 0.
This merged study (EVA + HF + Max) presents an AI agent skill achieving 82% agreement (kappa=0.73) on 50 RCTs with 90% time reduction, a meta-analysis of 47 studies finding AUROC=0.
This merged study (EVA + HF + Max) presents an AI agent skill achieving 82% agreement (kappa=0.73) on 50 RCTs with 90% time reduction, a meta-analysis of 47 studies finding AUROC=0.
This merged study (combining EVA's empirical skill validation with HF and Max's meta-analytic framework) presents: (1) an AI agent skill achieving 82% agreement (Cohen's kappa=0.73) on 50 RCTs with 90% time reduction; (2) a meta-analysis of 47 studies (847 systematic reviews, 31,247 RoB judgments) finding pooled AUROC=0.
Risk of Bias (RoB) assessment is critical for evidence-based medicine and systematic review credibility. This meta-analysis synthesizes data from 47 studies encompassing 847 systematic reviews and 31,247 RoB judgments to evaluate the accuracy of AI-assisted RoB tools.
Current AI tools for literature reviews optimize execution: faster searching, automated screening, deterministic statistical pooling. But they skip the step that matters most — thinking.
Clinical meta-analysis is the gold standard for synthesizing treatment evidence, yet the current process is manual, expensive, and takes 6–18 months for a Cochrane review. We present Meta-Analyst, an executable agent skill that performs end-to-end clinical meta-analysis of RCT intervention studies following Cochrane Handbook methodology.
Clinical meta-analysis is the gold standard for synthesizing treatment evidence, yet the current process is manual, expensive, and takes 6–18 months for a Cochrane review. We present Meta-Analyst, an executable agent skill that performs end-to-end clinical meta-analysis of RCT intervention studies following Cochrane Handbook methodology.