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Olaghere, Ajima; Wilson, David B.; Kimbrell, Catherine – Research Synthesis Methods, 2023
A diversity of approaches for critically appraising qualitative and quantitative evidence exist and emphasize different aspects. These approaches lack clear processes to facilitate rating the overall quality of the evidence for aggregated findings that combine qualitative and quantitative evidence. We draw on a meta-aggregation of implementation…
Descriptors: Evidence, Synthesis, Scoring Rubrics, Standardized Tests
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Brinley N. Zabriskie; Nolan Cole; Jacob Baldauf; Craig Decker – Research Synthesis Methods, 2024
Meta-analyses have become the gold standard for synthesizing evidence from multiple clinical trials, and they are especially useful when outcomes are rare or adverse since individual trials often lack sufficient power to detect a treatment effect. However, when zero events are observed in one or both treatment arms in a trial, commonly used…
Descriptors: Meta Analysis, Error Correction, Computation, Simulation
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Xu, Chang; Ju, Ke; Lin, Lifeng; Jia, Pengli; Kwong, Joey S. W.; Syed, Asma; Furuya-Kanamori, Luis – Research Synthesis Methods, 2022
Rapid reviews have been widely employed to support timely decision-making, and limiting the search date is the most popular approach in published rapid reviews. We assessed the accuracy and workload of search date limits on the meta-analytical results to determine the best rapid strategy. The meta-analyses data were collected from the Cochrane…
Descriptors: Evidence, Synthesis, Accuracy, Meta Analysis
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Burgard, Tanja; Bosnjak, Michael; Studtrucker, Robert – Research Synthesis Methods, 2022
To enable optimal decision-making based on the best evidence available, open syntheses are called for. To make data accessible and comprehensible even for decision-makers without proficient knowledge in meta-analysis, a graphical user interface (GUI) provides flexible data visualizations including interpretation aids. Moreover, due to a growing…
Descriptors: Psychological Studies, Meta Analysis, Synthesis, Metadata
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Jona Lilienthal; Sibylle Sturtz; Christoph Schürmann; Matthias Maiworm; Christian Röver; Tim Friede; Ralf Bender – Research Synthesis Methods, 2024
In Bayesian random-effects meta-analysis, the use of weakly informative prior distributions is of particular benefit in cases where only a few studies are included, a situation often encountered in health technology assessment (HTA). Suggestions for empirical prior distributions are available in the literature but it is unknown whether these are…
Descriptors: Bayesian Statistics, Meta Analysis, Health Sciences, Technology
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Xu, Chang; Furuya-Kanamori, Luis; Lin, Lifeng – Research Synthesis Methods, 2022
In evidence synthesis, dealing with zero-events studies is an important and complicated task that has generated broad discussion. Numerous methods provide valid solutions to synthesizing data from studies with zero-events, either based on a frequentist or a Bayesian framework. Among frequentist frameworks, the one-stage methods have their unique…
Descriptors: Evidence, Synthesis, Statistical Analysis, Meta Analysis
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Yu, Tianqi; Lin, Lifeng; Furuya-Kanamori, Luis; Xu, Chang – Research Synthesis Methods, 2022
In evidence-based practice, new topics generally only have a few studies available for synthesis. As a result, the evidence of such meta-analyses raised substantial concerns. We investigated the robustness of the evidence from these earliest studies. Real-world data from the Cochrane Database of Systematic Reviews (CDSR) were collected. We…
Descriptors: Synthesis, Evidence, Decision Making, Reliability
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Petersen, Julie M.; Barrett, Malcolm; Ahrens, Katherine A.; Murray, Eleanor J.; Bryant, Allison S.; Hogue, Carol J.; Mumford, Sunni L.; Gadupudi, Salini; Fox, Matthew P.; Trinquart, Ludovic – Research Synthesis Methods, 2022
Systematic reviews and meta-analyses are essential for drawing conclusions regarding etiologic associations between exposures or interventions and health outcomes. Observational studies comprise a substantive source of the evidence base. One major threat to their validity is residual confounding, which may occur when component studies adjust for…
Descriptors: Bias, Meta Analysis, Etiology, Intervention
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Shimonovich, Michal; Pearce, Anna; Thomson, Hilary; Katikireddi, Srinivasa Vittal – Research Synthesis Methods, 2022
In fields (such as population health) where randomised trials are often lacking, systematic reviews (SRs) can harness diversity in study design, settings and populations to assess the evidence for a putative causal relationship. SRs may incorporate causal assessment approaches (CAAs), sometimes called 'causal reviews', but there is currently no…
Descriptors: Evidence, Synthesis, Causal Models, Public Health
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Daly, Caitlin H.; Maconachie, Ross; Ades, A. E.; Welton, Nicky J. – Research Synthesis Methods, 2022
Randomised controlled trials of cancer treatments typically report progression free survival (PFS) and overall survival (OS) outcomes. Existing methods to synthesise evidence on PFS and OS either rely on the proportional hazards assumption or make parametric assumptions which may not capture the diverse survival curve shapes across studies and…
Descriptors: Nonparametric Statistics, Randomized Controlled Trials, Evidence, Networks
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Gusenbauer, Michael – Research Synthesis Methods, 2021
Academic research has changed in recent years. It has entered the age of abundant scholarly information. New scientometric data shows impressive increases in both the quantity and quality of information researchers produce. Since 2007 about the same number of publications have become accessible on databases as more than the hundred years prior. At…
Descriptors: Access to Information, Scholarship, Information Retrieval, Synthesis
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Du, Han; Bradbury, Thomas N.; Lavner, Justin A.; Meltzer, Andrea L.; McNulty, James K.; Neff, Lisa A.; Karney, Benjamin R. – Research Synthesis Methods, 2020
Researchers often seek to synthesize results of multiple studies on the same topic to draw statistical or substantive conclusions and to estimate effect sizes that will inform power analyses for future research. The most popular synthesis approach is meta-analysis. There have been few discussions and applications of other synthesis approaches.…
Descriptors: Bayesian Statistics, Meta Analysis, Statistical Inference, Synthesis
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Bender, Ralf; Friede, Tim; Koch, Armin; Kuss, Oliver; Schlattmann, Peter; Schwarzer, Guido; Skipka, Guido – Research Synthesis Methods, 2018
In systematic reviews, meta-analyses are routinely applied to summarize the results of the relevant studies for a specific research question. If one can assume that in all studies the same true effect is estimated, the application of a meta-analysis with common effect (commonly referred to as fixed-effect meta-analysis) is adequate. If…
Descriptors: Evidence, Synthesis, Meta Analysis, Research Problems
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van Valkenhoef, Gert; Dias, Sofia; Ades, A. E.; Welton, Nicky J. – Research Synthesis Methods, 2016
Network meta-analysis enables the simultaneous synthesis of a network of clinical trials comparing any number of treatments. Potential inconsistencies between estimates of relative treatment effects are an important concern, and several methods to detect inconsistency have been proposed. This paper is concerned with the node-splitting approach,…
Descriptors: Networks, Meta Analysis, Automation, Models
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Melendez-Torres, G. J.; O'Mara-Eves, A.; Thomas, J.; Brunton, G.; Caird, J.; Petticrew, M. – Research Synthesis Methods, 2017
Using Toulmin's argumentation theory, we analysed the texts of systematic reviews in the area of workplace health promotion to explore differences in the modes of reasoning embedded in reports of narrative synthesis as compared with reports of meta-analysis. We used framework synthesis, grounded theory and cross-case analysis methods to analyse 85…
Descriptors: Literature Reviews, Synthesis, Meta Analysis, Persuasive Discourse
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