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Methods to Calculate Uncertainty in the Estimated Overall Effect Size from a Random-Effects Meta-Analysis
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Veroniki, Areti Angeliki; Jackson, Dan; Bender, Ralf; Kuss, Oliver; Langan, Dean; Higgins, Julian P. T.; Knapp, Guido; Salanti, Georgia – Research Synthesis Methods, 2019
Meta-analyses are an important tool within systematic reviews to estimate the overall effect size and its confidence interval for an outcome of interest. If heterogeneity between the results of the relevant studies is anticipated, then a random-effects model is often preferred for analysis. In this model, a prediction interval for the true effect…
Descriptors: Meta Analysis, Effect Size, Simulation, Comparative Analysis
Detecting Outlying Studies in Meta-Regression Models Using a Forward Search Algorithm
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Mavridis, Dimitris; Moustaki, Irini; Wall, Melanie; Salanti, Georgia – Research Synthesis Methods, 2017
When considering data from many trials, it is likely that some of them present a markedly different intervention effect or exert an undue influence on the summary results. We develop a forward search algorithm for identifying outlying and influential studies in meta-analysis models. The forward search algorithm starts by fitting the hypothesized…
Descriptors: Research Reports, Regression (Statistics), Meta Analysis, Intervention
Methods to Estimate the Between-Study Variance and Its Uncertainty in Meta-Analysis
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Veroniki, Areti Angeliki; Jackson, Dan; Viechtbauer, Wolfgang; Bender, Ralf; Bowden, Jack; Knapp, Guido; Kuss, Oliver; Higgins, Julian P. T.; Langan, Dean; Salanti, Georgia – Research Synthesis Methods, 2016
Meta-analyses are typically used to estimate the overall/mean of an outcome of interest. However, inference about between-study variability, which is typically modelled using a between-study variance parameter, is usually an additional aim. The DerSimonian and Laird method, currently widely used by default to estimate the between-study variance,…
Descriptors: Meta Analysis, Methods, Computation, Simulation
Reporting and Handling Missing Outcome Data in Mental Health: A Systematic Review of Cochrane Systematic Reviews and Meta-Analyses
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Spineli, Loukia M.; Pandis, Nikolaos; Salanti, Georgia – Research Synthesis Methods, 2015
Objectives: The purpose of the study was to provide empirical evidence about the reporting of methodology to address missing outcome data and the acknowledgement of their impact in Cochrane systematic reviews in the mental health field. Methods: Systematic reviews published in the Cochrane Database of Systematic Reviews after January 1, 2009 by…
Descriptors: Mental Health, Literature Reviews, Data Analysis, Meta Analysis