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Showing 1 to 15 of 114 results Save | Export
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Li, Hua; Shih, Ming-Chieh; Song, Cheng-Jie; Tu, Yu-Kang – Research Synthesis Methods, 2023
Network meta-analysis combines direct and indirect evidence to compare multiple treatments. As direct evidence for one treatment contrast may be indirect evidence for other treatment contrasts, biases in the direct evidence for one treatment contrast may affect not only the estimate for this particular treatment contrast but also estimates of…
Descriptors: Network Analysis, Meta Analysis, Bias, Evidence
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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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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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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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Shih, Ming-Chieh; Tu, Yu-Kang – Research Synthesis Methods, 2021
Network meta-analysis (NMA) compares the efficacy and harm between several treatments by combining direct and indirect evidence. The validity of NMA requires that all available evidence form a coherent network. Failure to meet such requirement is known as inconsistency. The most popular approach to inconsistency detection is to compare the direct…
Descriptors: Networks, Meta Analysis, Evidence, Evaluation Methods
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Yao, Minghong; Wang, Yuning; Ren, Yan; Jia, Yulong; Zou, Kang; Li, Ling; Sun, Xin – Research Synthesis Methods, 2023
Rare events meta-analyses of randomized controlled trials (RCTs) are often underpowered because the outcomes are infrequent. Real-world evidence (RWE) from non-randomized studies may provide valuable complementary evidence about the effects of rare events, and there is growing interest in including such evidence in the decision-making process.…
Descriptors: Evidence, Meta Analysis, Randomized Controlled Trials, Decision Making
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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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John Deke; Mariel Finucane; Dan Thal – Society for Research on Educational Effectiveness, 2022
Background/Context: Methodological background: Meta-analysis typically depends on the assumption that true effects follow the normal distribution. While assuming normality of effect "estimates" is often supported by a central limit theorem, normality for the distribution of interventions' "true" effects is a computational…
Descriptors: Bayesian Statistics, Meta Analysis, Regression (Statistics), Research Design
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Thom, Howard; White, Ian R.; Welton, Nicky J.; Lu, Guobing – Research Synthesis Methods, 2019
Network meta-analysis compares multiple treatments from studies that form a connected network of evidence. However, for complex networks, it is not easy to see if the network is connected. We use simple techniques from graph theory to test the connectedness of evidence networks in network meta-analysis. The method is to build the adjacency matrix…
Descriptors: Networks, Evidence, Meta Analysis, Graphs
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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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Konno, Ko; Pullin, Andrew S. – Research Synthesis Methods, 2020
Results of meta-analyses are potentially valuable for informing environmental policy and practice decisions. However, selective sampling of primary studies through searches exclusively using widely used bibliographic platform(s) could bias estimates of effect sizes. Such search strategies are common in environmental evidence reviews, and if risk…
Descriptors: Meta Analysis, Decision Making, Effect Size, Policy Formation
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Anwer, Sumayya; Ades, A. E.; Dias, Sofia – Research Synthesis Methods, 2020
Background: When there are structural relationships between outcomes reported in different trials, separate analyses of each outcome do not provide a single coherent analysis, which is required for decision-making. For example, trials of intrapartum anti-bacterial prophylaxis (IAP) to prevent early onset group B streptococcal (EOGBS) disease can…
Descriptors: Meta Analysis, Outcomes of Treatment, Diseases, Decision Making
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Gusenbauer, Michael; Haddaway, Neal R. – Research Synthesis Methods, 2020
Rigorous evidence identification is essential for systematic reviews and meta-analyses (evidence syntheses) because the sample selection of relevant studies determines a review's outcome, validity, and explanatory power. Yet, the search systems allowing access to this evidence provide varying levels of precision, recall, and reproducibility and…
Descriptors: Evidence, Databases, Meta Analysis, Validity
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Hanson, Josef – Journal of Research in Music Education, 2019
This meta-analytic study examined the validity of Gordon's music aptitude tests as predictors of other musical variables. The four tests analyzed were the Music Aptitude Profile (1965), Primary Measures of Music Audiation (1979), Intermediate Measures of Music Audiation (1982), and Advanced Measures of Music Audiation (1989). Separate analyses…
Descriptors: Meta Analysis, Evidence, Music, Music Education
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