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Showing 1 to 15 of 142 results Save | Export
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Matsushima, Yuki; Noma, Hisashi; Yamada, Tomohide; Furukawa, Toshi A. – Research Synthesis Methods, 2020
Meta-analyses of diagnostic test accuracy (DTA) studies have been gaining prominence in research in clinical epidemiology and health technology development. In these DTA meta-analyses, some studies may have markedly different characteristics from the others and potentially be inappropriate to include. The inclusion of these "outlying"…
Descriptors: Diagnostic Tests, Clinical Diagnosis, Accuracy, Meta Analysis
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Brunton, Ginny; Webbe, James; Oliver, Sandy; Gale, Chris – Research Synthesis Methods, 2020
Trials evaluating the same interventions rarely measure or report identical outcomes. This limits the possibility of aggregating effect sizes across studies to generate high-quality evidence through systematic reviews and meta-analyses. To address this problem, core outcome sets (COS) establish agreed sets of outcomes to be used in all future…
Descriptors: Intervention, Outcome Measures, Effect Size, Qualitative Research
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van Grootel, Leonie; Balachandran Nair, Lakshmi; Klugkist, Irene; van Wesel, Floryt – Research Synthesis Methods, 2020
In mixed methods reviewing, data from quantitative and qualitative studies are combined at the review level. One possible way to combine findings of quantitative and qualitative studies is to quantitize qualitative findings prior to their incorporation in a quantitative review. There are only a few examples of the quantification of qualitative…
Descriptors: Mixed Methods Research, Statistical Analysis, Qualitative Research, Research Methodology
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Cope, Shannon; Chan, Keith; Jansen, Jeroen P. – Research Synthesis Methods, 2020
Background: Network meta-analysis (NMA) of survival data with a multidimensional treatment effect has been introduced as an alternative to NMA based on the proportional hazards assumption. However, these flexible models have some limitations, such as the use of an approximate likelihood based on discrete hazards, rather than a likelihood for…
Descriptors: Multivariate Analysis, Meta Analysis, Network Analysis, Models
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Cooper, Christina; Lhussier, Monique; Carr, Susan – Research Synthesis Methods, 2020
Realist methodologies have been increasingly advocated for the investigation of complex social issues. Public health programs, such as those designed to prevent adolescent risk behavior, are typically considered complex. In conducting a realist review of the empirical literature relating to such programs, we encountered several challenges,…
Descriptors: Research Methodology, Adolescents, Risk Management, Prevention
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Holper, L. – Research Synthesis Methods, 2020
Threshold analysis has recently been proposed to be used in combination with the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) in order to assess the sensitivity to plausible bias of treatment recommendations derived from Bayesian network meta-analysis (NMA). Here, it was aimed to apply the combination of threshold…
Descriptors: Research Methodology, Evaluation Methods, Adults, Depression (Psychology)
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Hoyer, Annika; Kuss, Oliver – Research Synthesis Methods, 2020
Diagnostic accuracy studies often evaluate diagnostic tests at several threshold values, aiming to make recommendations on optimal thresholds for use in practice. Methods for meta-analysis of full receiver operating characteristic (ROC) curves have been proposed but still have deficiencies. We recently proposed a parametric approach that is based…
Descriptors: Diagnostic Tests, Research Methodology, Accuracy, Meta Analysis
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Korevaar, Daniël A.; Salameh, Jean-Paul; Vali, Yasaman; Cohen, Jérémie F.; McInnes, Matthew D. F.; Spijker, René; Bossuyt, Patrick M. – Research Synthesis Methods, 2020
Introduction: Many diagnostic accuracy studies are never reported in full in a peer-reviewed journal. Searching for unpublished studies may avoid bias due to selective publication, enrich the power of systematic reviews, and thereby help to reduce research waste. We assessed searching practices among recent systematic reviews of diagnostic…
Descriptors: Clinical Diagnosis, Accuracy, Research Reports, Bibliographic Databases
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Seide, Svenja E.; Jensen, Katrin; Kieser, Meinhard – Research Synthesis Methods, 2020
The performance of statistical methods is often evaluated by means of simulation studies. In case of network meta-analysis of binary data, however, simulations are not currently available for many practically relevant settings. We perform a simulation study for sparse networks of trials under between-trial heterogeneity and including multi-arm…
Descriptors: Bayesian Statistics, Meta Analysis, Data Analysis, Networks
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Huiskens, Joost; Kool, Boudewijn R. J.; Bakker, Jean-Michel; Bruns, Emma R. J.; de Jonge, Stijn W.; Olthof, Pim B.; van Rosmalen, Belle V.; van Gulik, Thomas M.; Hooft, Lotty; Punt, Cornelis J. A. – Research Synthesis Methods, 2020
Introduction: Registration of clinical trials has been initiated in order to assess adherence of the reported results to the original trial protocol. This study aimed to investigate the publication rates, timely dissemination of results, and the prevalence of consistency in hypothesis, sample size, and primary endpoint of Dutch…
Descriptors: Randomized Controlled Trials, Databases, Foreign Countries, Medical Research
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Qijun Li, Kendrick; Rice, Kenneth – Research Synthesis Methods, 2020
Meta-analysis of 2 × 2 tables is common and useful in research topics including analysis of adverse events and survey research data. Fixed-effects inference typically centers on measures of association such as the Cochran-Mantel-Haenszel statistic or Woolf's estimator, but relies on assuming exact homogeneity across studies, which is often…
Descriptors: Inferences, Meta Analysis, Intervals, Prevention
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Brunton, Ginny; Oliver, Sandy; Thomas, James – Research Synthesis Methods, 2020
Framework synthesis is one systematic review method employed to address health care practice and policy. Adapted from framework analysis methods, it has been used increasingly, using both qualitative and mixed-method systematic review methods. This article demonstrates a spectrum of approaches to framework synthesis that are dependent on the…
Descriptors: Innovation, Health Services, Guidelines, Mixed Methods Research
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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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Booth, Andrew; Briscoe, Simon; Wright, Judy M. – Research Synthesis Methods, 2020
The requirement for literature searches that identify studies for inclusion in systematic reviews should be systematic, explicit, and reproducible extends, at least by implication, to other types of literature review. However, realist reviews commonly require literature searches that challenge systematic reporting; searches are iterative and…
Descriptors: Research Reports, Literature Reviews, Search Strategies, Innovation
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Mavridis, Dimitris; White, Ian R. – Research Synthesis Methods, 2020
Missing data result in less precise and possibly biased effect estimates in single studies. Bias arising from studies with incomplete outcome data is naturally propagated in a meta-analysis. Conventional analysis using only individuals with available data is adequate when the meta-analyst can be confident that the data are missing at random (MAR)…
Descriptors: Meta Analysis, Data Analysis, Statistical Bias, Outcome Measures
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