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Guido Schwarzer; Gerta Rücker; Cristina Semaca – Research Synthesis Methods, 2024
The "LFK" index has been promoted as an improved method to detect bias in meta-analysis. Putatively, its performance does not depend on the number of studies in the meta-analysis. We conducted a simulation study, comparing the "LFK" index test to three standard tests for funnel plot asymmetry in settings with smaller or larger…
Descriptors: Bias, Meta Analysis, Simulation, Evaluation Methods
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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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Hu, Kaiyan; Zhao, Li; Zhou, Qi; Mei, Fan; Gao, Qianqian; Chen, Fei; Jiang, Mengyao; Zhao, Bing; Zhang, Weiyi; Kwong, Joey S. W.; Ma, Yuxia; Mou, Chenghua; Ma, Bin – Research Synthesis Methods, 2021
The author should give careful consideration to the study eligibility criteria of systematic reviews (SRs) and follow it after review protocol development to reduce the possibility of manipulation of inclusion. Our aim was to investigate the prevalence of differences in study eligibility criteria between non-Cochrane SRs and their pre-registered…
Descriptors: Eligibility, Reliability, Criteria, Literature Reviews
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A. E. Ades; Nicky J. Welton; Sofia Dias; David M. Phillippo; Deborah M. Caldwell – Research Synthesis Methods, 2024
Network meta-analysis (NMA) is an extension of pairwise meta-analysis (PMA) which combines evidence from trials on multiple treatments in connected networks. NMA delivers internally consistent estimates of relative treatment efficacy, needed for rational decision making. Over its first 20 years NMA's use has grown exponentially, with applications…
Descriptors: Network Analysis, Meta Analysis, Medicine, Clinical Experience
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Jager, Nicolas W.; Newig, Jens; Challies, Edward; Kochskämper, Elisa; von Wehrden, Henrik – Research Synthesis Methods, 2022
Meta-analytical methods face particular challenges in research fields such as social and political research, where studies often rest primarily on qualitative and case study research. In such contexts, where research findings are less standardized and amenable to structured synthesis, the case survey method has been proposed as a means of data…
Descriptors: Social Sciences, Meta Analysis, Case Studies, Validity
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Hartwig, Fernando P.; Davey Smith, George; Schmidt, Amand F.; Sterne, Jonathan A. C.; Higgins, Julian P. T.; Bowden, Jack – Research Synthesis Methods, 2020
Meta-analyses based on systematic literature reviews are commonly used to obtain a quantitative summary of the available evidence on a given topic. However, the reliability of any meta-analysis is constrained by that of its constituent studies. One major limitation is the possibility of small-study effects, when estimates from smaller and larger…
Descriptors: Meta Analysis, Research Methodology, Effect Size, Robustness (Statistics)
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Donegan, Sarah; Williamson, Paula; D'Alessandro, Umberto; Tudur Smith, Catrin – Research Synthesis Methods, 2013
Background: Homogeneity and consistency assumptions underlie network meta-analysis (NMA). Methods exist to assess the assumptions but they are rarely and poorly applied. We review and illustrate methods to assess homogeneity and consistency. Methods: Eligible articles focussed on indirect comparison or NMA methodology. Articles were sought by…
Descriptors: Networks, Meta Analysis, Research Methodology, Diseases
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Robertson, Clare; Ramsay, Craig; Gurung, Tara; Mowatt, Graham; Pickard, Robert; Sharma, Pawana – Research Synthesis Methods, 2014
We describe our experience of using a modified version of the Cochrane risk of bias (RoB) tool for randomised and non-randomised comparative studies. Objectives: (1) To assess time to complete RoB assessment; (2) To assess inter-rater agreement; and (3) To explore the association between RoB and treatment effect size. Methods: Cochrane risk of…
Descriptors: Risk, Randomized Controlled Trials, Research Design, Comparative Analysis