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Direct linkPage, Matthew J.; Sterne, Jonathan A. C.; Higgins, Julian P. T.; Egger, Matthias – Research Synthesis Methods, 2021
A "P" value, or the magnitude or direction of results can influence decisions about whether, when, and how research findings are disseminated. Regardless of whether an entire study or a particular study result is unavailable because investigators considered the results to be unfavorable, bias in a meta-analysis may occur when available…
Descriptors: Publications, Bias, Medical Research, Meta Analysis
Porgo, Teegwendé V.; Norris, Susan L.; Salanti, Georgia; Johnson, Leigh F.; Simpson, Julie A.; Low, Nicola; Egger, Matthias; Althaus, Christian L. – Research Synthesis Methods, 2019
Mathematical modeling studies are increasingly recognised as an important tool for evidence synthesis and to inform clinical and public health decision-making, particularly when data from systematic reviews of primary studies do not adequately answer a research question. However, systematic reviewers and guideline developers may struggle with…
Descriptors: Mathematical Models, Evidence, Glossaries, Medical Research
Albanese, Emiliano; Bütikofer, Lukas; Armijo-Olivo, Susan; Ha, Christine; Egger, Matthias – Research Synthesis Methods, 2020
Background: There is an agreement that the methodological quality of randomized trials should be assessed in systematic reviews, but there is a debate on how this should be done. We conducted a construct validation study of the Physiotherapy Evidence Database (PEDro) scale, which is widely used to assess the quality of trials in physical therapy…
Descriptors: Construct Validity, Physical Therapy, Item Response Theory, Factor Analysis
