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A meta-analysis pools results from multiple studies to produce more precise effect estimates than any single study.
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INSUFFICIENT LEANING
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11 sources for · 0 against
Is it true that a meta-analysis pools results from multiple studies to produce more precise effect estimates than any single study?
Unclear. Several sources confirm that meta-analysis pools results from multiple studies, and one review notes it appears to provide the most precise summary of treatment effects, but none directly compares its precision against a single study.
Verdict: PARTIAL LEAN · 11 sources for, 0 against · Last checked
Evidence for · 11
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Meta-analysis of prevalence. (n.d.). cir.nii.ac.jp. https://doi.org/10.1136/jech-2013-203104
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More for · 10
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Development and application of multivariate meta-analysis in medical research: borrowing strength across multiple correlated outcomes. (2019). eprints.keele.ac.uk. https://eprints.keele.ac.uk/7303/1/HattlePhD2019.pdf
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Yingke, X., Yueyang, B., & Megan, W. (2022). Smoking and fracture risk in men: a meta-analysis of cohort studies, using both frequentist and Bayesian approaches. authors.library.caltech.edu. https://doi.org/10.1038/s41598-022-13356-1
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Combined healthy lifestyle and depressive symptoms: a meta-analysis of observational studies. (n.d.). cir.nii.ac.jp. https://doi.org/10.1016/j.jad.2021.04.030
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What encourages people to carpool? An evaluation of factors with meta-analysis. (2015). doi.org. https://doi.org/10.1007/s11116-015-9661-7
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Rethinking Evidence Synthesis: Why Causally Interpreted Meta-Analysis Should Supplant Conventional Meta-Analysis at the Top of the Evidence Hierarchy in Medicine. (2026). doi.org. https://doi.org/10.63720/v2i1005
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He, C., Ruan, Y., & Jia, Z. (2024). Effects of Nitrogen Addition on Soil Microbial Biomass: A Meta-Analysis. doi.org. https://doi.org/10.3390/agriculture14091616
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Blomstedt, P., Mesquita, D., Rivasplata, O., Lintusaari, J., Sivula, T., Corander, J., & Kaski, S. (2019). Meta-analysis of Bayesian analyses. arxiv.org. https://doi.org/10.1214/24-BA1465
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M., M. D., Mark, W., Paul, M., & Louise, F. (2016). Predictors of Nonadherence to Statins: A Systematic Review and Meta-Analysis. doi.org. https://doi.org/10.7916/D8GM87B0
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M., M. D., Mark, W., Paul, M., & Louise, F. (2016). Predictors of nonadherence to statins: a systematic review and meta-analysis. doi.org. https://doi.org/10.7916/D87081B4
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Induced pluripotent stem cells in rat models of Parkinson's disease: A systematic review and meta‑analysis. (n.d.). cir.nii.ac.jp. https://doi.org/10.3892/br.2018.1049
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