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Direct linkMikkel Helding Vembye; James Eric Pustejovsky; Therese Deocampo Pigott – Research Synthesis Methods, 2024
Sample size and statistical power are important factors to consider when planning a research synthesis. Power analysis methods have been developed for fixed effect or random effects models, but until recently these methods were limited to simple data structures with a single, independent effect per study. Recent work has provided power…
Descriptors: Sample Size, Robustness (Statistics), Effect Size, Social Science Research
Conor O. Chandler; Irina Proskorovsky – Research Synthesis Methods, 2024
In health technology assessment, matching-adjusted indirect comparison (MAIC) is the most common method for pairwise comparisons that control for imbalances in baseline characteristics across trials. One of the primary challenges in MAIC is the need to properly account for the additional uncertainty introduced by the matching process. Limited…
Descriptors: Predictor Variables, Influence of Technology, Evaluation Methods, Methods Research
Lunny, Carole; Neelakant, Trish; Chen, Alyssa; Shinger, Gavindeep; Stevens, Adrienne; Tasnim, Sara; Sadeghipouya, Shadi; Adams, Stephen; Zheng, Yi Wen; Lin, Lester; Yang, Pei Hsuan; Dosanjh, Manpreet; Ngsee, Peter; Ellis, Ursula; Shea, Beverley J.; Reid, Emma K.; Wright, James M. – Research Synthesis Methods, 2022
Overviews synthesising the results of multiple systematic reviews help inform evidence-based clinical practice. In this first of two companion papers, we evaluate the bibliometrics of overviews, including their prevalence and factors affecting citation rates and journal impact factor (JIF). We searched MEDLINE, Epistemonikos and Cochrane Database…
Descriptors: Bibliometrics, Citation Analysis, Journal Articles, Periodicals
