Data Heterogeneity in Meta-Analyses: Statistical Methods, Interpretation, and Guidance.
| Autor: | Yalla GR; Department of Orthopaedic Surgery, Rothman Orthopaedic Institute at Thomas Jefferson University, Philadelphia, PA., Lambrechts MJ |
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| Jazyk: | angličtina |
| Zdroj: | Clinical spine surgery [Clin Spine Surg] 2023 Aug 01; Vol. 36 (7), pp. 287-288. Date of Electronic Publication: 2023 Jun 06. |
| DOI: | 10.1097/BSD.0000000000001464 |
| Abstrakt: | Data heterogeneity determines whether sufficiently strong conclusions can be derived from synthesizing and aggregating the available literature. Multiple tools are available to calculate data heterogeneity, but each tool has pros and cons. Providing a prediction interval may be the most beneficial since it allows readers to quantify heterogeneity in a clear and clinically relevant form. However, the ultimate decision on which tool to use is left to the discretion of the researcher. This decision should be decided upon during the study inception. Competing Interests: The authors declare no conflict of interest. (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.) |
| Databáze: | MEDLINE |
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