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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19359258 |
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Table of Contents:
- <p>This is the v1.2 release of the reproducible Python code and data for:</p> <p>The Impact of GLP-1 and Dual GIP/GLP-1 Receptor Agonists on Lean Body Mass<br>(A Systematic Review and Meta-Analysis of Phase 3/3b RCTs)</p> <p>Submitted to Diabetes, Obesity and Metabolism (2026). Manuscript ID: DOM-26-1453-OP.</p> <p>v1.2 changes (from v1.1):<br>- Prediction intervals corrected from z-approximation to t-distribution (df=k-2), consistent with R metafor predict()<br>- R cross-validation scripts: corrected stale hardcoded reference values carried over from earlier iterations (Peters' t/p, Begg's tau/p, profile likelihood tau2 CI, RVE df)<br>- Fat mass R script: corrected hardcoded lean MD constants used in ratio calculation (-1.94, -3.05, -1.20)<br>- Figure 1 regenerated with t-based PI annotation [-5.66; 1.77]</p> <p>Contains:<br>- All analysis scripts (DL, HKSJ, Bayesian grid integration, RVE, three-level model)<br>- R cross-validation scripts (metafor, clubSandwich)<br>- Raw data (meta_analysis_data_v5.csv)<br>- All generated figures<br>- run_all.py</p> <p>Permanent Zenodo archive will be linked automatically.</p>