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Reem El Sherif; Pierre Pluye; Quan Nha Hong; Benoît Rihoux – Research Synthesis Methods, 2024
Qualitative comparative analysis (QCA) is a hybrid method designed to bridge the gap between qualitative and quantitative research in a case-sensitive approach that considers each case holistically as a complex configuration of conditions and outcomes. QCA allows for multiple conjunctural causation, implying that it is often a combination of…
Descriptors: Comparative Analysis, Qualitative Research, Statistical Analysis, Researchers
Li, Hua; Shih, Ming-Chieh; Tu, Yu-Kang – Research Synthesis Methods, 2023
Component network meta-analysis (CNMA) compares treatments comprising multiple components and estimates the effects of individual components. For network meta-analysis, a standard network plot with nodes for treatments and edges for direct comparisons between treatments is drawn to visualize the evidence structure and the connections between…
Descriptors: Networks, Meta Analysis, Graphs, Comparative Analysis
Noma, Hisashi; Hamura, Yasuyuki; Sugasawa, Shonosuke; Furukawa, Toshi A. – Research Synthesis Methods, 2023
Network meta-analysis has played an important role in evidence-based medicine for assessing the comparative effectiveness of multiple available treatments. The prediction interval has been one of the standard outputs in recent network meta-analysis as an effective measure that enables simultaneous assessment of uncertainties in treatment effects…
Descriptors: Intervals, Meta Analysis, Evidence Based Practice, Comparative Analysis
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
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
Rogers, Morwenna; Bethel, Alison; Briscoe, Simon – Research Synthesis Methods, 2020
Background: Forwards citation searching is a valuable method for finding relevant studies in reviews where concepts are not clearly defined. Scopus and Web of Science can both be used for forwards citation searching but there is little evidence comparing the resources for this purpose. Method: 104 source records relevant to a scoping review of…
Descriptors: Dementia, Search Strategies, Citations (References), Research Reports
Noma, Hisashi; Gosho, Masahiko; Ishii, Ryota; Oba, Koji; Furukawa, Toshi A. – Research Synthesis Methods, 2020
Network meta-analysis has been gaining prominence as an evidence synthesis method that enables the comprehensive synthesis and simultaneous comparison of multiple treatments. In many network meta-analyses, some of the constituent studies may have markedly different characteristics from the others, and may be influential enough to change the…
Descriptors: Networks, Meta Analysis, Evidence, Comparative Analysis
Shih, Ming-Chieh; Tu, Yu-Kang – Research Synthesis Methods, 2019
Network meta-analysis (NMA) uses both direct and indirect evidence to compare the efficacy and harm between several treatments. Structural equation modeling (SEM) is a statistical method that investigates relations among observed and latent variables. Previous studies have shown that the contrast-based Lu-Ades model for NMA can be implemented in…
Descriptors: Meta Analysis, Structural Equation Models, Evidence, Comparative Analysis
Moustgaard, Helene; Jones, Hayley E.; Savovic, Jelena; Clayton, Gemma L.; Sterne, Jonathan AC; Higgins, Julian PT; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2020
Randomized clinical trials underpin evidence-based clinical practice, but flaws in their conduct may lead to biased estimates of intervention effects and hence invalid treatment recommendations. The main approach to the empirical study of bias is to collate a number of meta-analyses and, within each, compare the results of trials with and without…
Descriptors: Epidemiology, Evidence, Medical Research, Intervention
van Grootel, Leonie; van Wesel, Floryt; O'Mara-Eves, Alison; Thomas, James; Hox, Joop; Boeije, Hennie – Research Synthesis Methods, 2017
Background: This study describes an approach for the use of a specific type of qualitative evidence synthesis in the matrix approach, a mixed studies reviewing method. The matrix approach compares quantitative and qualitative data on the review level by juxtaposing concrete recommendations from the qualitative evidence synthesis against…
Descriptors: Correlation, Evidence, Qualitative Research, Statistical Analysis
Stevens, John W.; Fletcher, Christine; Downey, Gerald; Sutton, Anthea – Research Synthesis Methods, 2018
A network meta-analysis allows a simultaneous comparison between treatments evaluated in randomised controlled trials that share at least one treatment with at least one other study. Estimates of treatment effects may be required for treatments across disconnected networks of evidence, which requires a different statistical approach and modelling…
Descriptors: Meta Analysis, Network Analysis, Comparative Analysis, Outcomes of Treatment
Biocic, Marina; Fidahic, Mahir; Cikes, Karla; Puljak, Livia – Research Synthesis Methods, 2019
Background: It has been reported that information sources searched in systematic reviews (SRs) are insufficiently comprehensive. We analyzed information sources used in SRs, as well as how up-to-date were the searches. Methods: We searched PubMed and the Cochrane Database of Systematic Reviews (CDSR) through Wiley from 2012 to 2016 to find SRs of…
Descriptors: Pain, Case Studies, Anesthesiology, Databases
Melendez-Torres, G. J.; Sutcliffe, Katy; Burchett, Helen E. D.; Rees, Rebecca; Thomas, James – Research Synthesis Methods, 2019
Qualitative comparative analysis (QCA) was originally developed as a tool for cross-national comparisons in macrosociology, but its use in evaluation and evidence synthesis of complex interventions is rapidly developing. QCA is theory-driven and relies on Boolean logic to identify pathways to an outcome (e.g., is the intervention effective or…
Descriptors: Comparative Analysis, Intervention, Evidence, Logical Thinking
Freeman, S. C.; Fisher, D.; Tierney, J. F.; Carpenter, J. R. – Research Synthesis Methods, 2018
Background: Stratified medicine seeks to identify patients most likely to respond to treatment. Individual participant data (IPD) network meta-analysis (NMA) models have greater power than individual trials to identify treatment-covariate interactions (TCIs). Treatment-covariate interactions contain "within" and "across" trial…
Descriptors: Medical Research, Patients, Outcomes of Treatment, Meta Analysis
Donegan, Sarah; Welton, Nicky J.; Tudur Smith, Catrin; D'Alessandro, Umberto; Dias, Sofia – Research Synthesis Methods, 2017
Background: Many reviews aim to compare numerous treatments and report results stratified by subgroups (eg, by disease severity). In such cases, a network meta-analysis model including treatment by covariate interactions can estimate the relative effects of all treatment pairings for each subgroup of patients. Two key assumptions underlie such…
Descriptors: Network Analysis, Meta Analysis, Outcomes of Treatment, Comparative Analysis
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