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Luo, Yan; Chaimani, Anna; Furukawa, Toshi A.; Kataoka, Yuki; Ogawa, Yusuke; Cipriani, Andrea; Salanti, Georgia – Research Synthesis Methods, 2021
It is often challenging to present the available evidence in a timely and comprehensible manner. We aimed to visualize the evolution of evidence about antidepressants for depression by conducting cumulative network meta-analyses (NMAs) and to examine whether it could have helped the selection of optimal drugs. We built a Shiny web application that…
Descriptors: Networks, Network Analysis, Meta Analysis, Drug Therapy
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Boon, Michele Hilton; Thomson, Hilary – Research Synthesis Methods, 2021
Effect direction (evidence to indicate improvement, deterioration, or no change in an outcome) can be used as a standardized metric which enables the synthesis of diverse effect measures in systematic reviews. The effect direction (ED) plot was developed to support the synthesis and visualization of effect direction data. Methods for the ED plot…
Descriptors: Visualization, Data Analysis, Measurement Techniques, Guidance
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Owen, Rhiannon K.; Bradbury, Naomi; Xin, Yiqiao; Cooper, Nicola; Sutton, Alex – Research Synthesis Methods, 2019
Background: Network meta-analysis (NMA) is a powerful analysis method used to identify the best treatments for a condition and is used extensively by health care decision makers. Although software routines exist for conducting NMA, they require considerable statistical programming expertise to use, which limits the number of researchers able to…
Descriptors: Network Analysis, Meta Analysis, Computer Software, Medical Research
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Dogo, Samson Henry; Clark, Allan; Kulinskaya, Elena – Research Synthesis Methods, 2017
Temporal changes in magnitude of effect sizes reported in many areas of research are a threat to the credibility of the results and conclusions of meta-analysis. Numerous sequential methods for meta-analysis have been proposed to detect changes and monitor trends in effect sizes so that meta-analysis can be updated when necessary and interpreted…
Descriptors: Effect Size, Meta Analysis, Visualization, Error of Measurement
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Anderson, Patricia F.; Shannon, Carol; Bickett, Skye; Doucette, Joanne; Herring, Pamela; Kepsel, Andrea; Lyons, Tierney; McLachlan, Scott; Wu, Lin – Research Synthesis Methods, 2018
When the Medical Library Association identified questions critical for the future of the profession, it assigned groups to use systematic reviews to find the answers to these questions. Group 6, whose question was on emerging technologies, recognized early on that the systematic review process would not work well for this question, which looks…
Descriptors: Case Studies, Comparative Analysis, Medical Research, Medical Libraries
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Schild, Anne H. E.; Voracek, Martin – Research Synthesis Methods, 2015
Research has shown that forest plots are a gold standard in the visualization of meta-analytic results. However, research on the general interpretation of forest plots and the role of researchers' meta-analysis experience and field of study is still unavailable. Additionally, the traditional display of effect sizes, confidence intervals, and…
Descriptors: Graphs, Visualization, Meta Analysis, Data Interpretation
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Thomson, Hilary J.; Thomas, Sian – Research Synthesis Methods, 2013
Visual display of reported impacts is a valuable aid to both reviewers and readers of systematic reviews. Forest plots are routinely prepared to report standardised effect sizes, but where standardised effect sizes are not available for all included studies a forest plot may misrepresent the available evidence. Tabulated data summaries to…
Descriptors: Graphs, Effect Size, Statistical Data, Housing
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Schild, Anne H. E.; Voracek, Martin – Research Synthesis Methods, 2013
Graphs are an essential part of scientific communication. Complex datasets, of which meta-analyses are textbook examples, benefit the most from visualization. Although a number of graph options for meta-analyses exist, the extent to which these are used was hitherto unclear. A systematic review on graph use in meta-analyses in three disciplines…
Descriptors: Graphs, Meta Analysis, Medicine, Psychology