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One of his recent edited publications titled The Handbook of Research Synthesis and Meta-Analysis (2nd ed., 2019), serves as a guide for social and behavioral science researchers, offering insights and techniques for the entire research synthesis process, covering statistical and non-statistical aspects, and providing practical advice on ...
Meta-analysis leads to a shift of emphasis from single studies to multiple studies. It emphasizes the practical importance of the effect size instead of the statistical significance of individual studies. This shift in thinking has been termed "meta-analytic thinking". The results of a meta-analysis are often shown in a forest plot.
She is an expert in meta-analysis, in 2013 she co-edited the Handbook of meta-analysis in ecology and evolution published by Princeton University Press [5] and she has used meta-analysis techniques to show the harmful effects of neonicotinoid insecticides on bees. [6]
Metascience (also known as meta-research) is the use of scientific methodology to study science itself. Metascience seeks to increase the quality of scientific research while reducing inefficiency . It is also known as "research on research" and "the science of science", as it uses research methods to study how research is done and find where ...
An expert on meta-analysis and systematic review methodologies, Professor Higgins contributes actively to the Cochrane Collaboration, where he also serves as Senior Methods Advisor. He is a co-editor of the Cochrane Handbook for Systematic Reviews of Interventions and has been named an ISI Highly Cited researcher each year since 2015. [4]
Meta-analysis is the preferred technique of quantitative research synthesis in many fields, such as medical science.It is a statistical technique that combines measures of effect size from a number of studies to calculate an overall measure.
Meta-analysis is a method used to combine the results of different trials in order to obtain a quantitative synthesis. The size of individual clinical trials is often too small to detect treatment effects reliably. Meta-analysis increases the power of statistical analyses by pooling the results of all available trials.
A meta-regression can be classified in the same way—meta-regression and network meta-regression—depending on the number of distinct treatments in the regression analysis. Meta-analysis (and meta-regression) is often placed at the top of the evidence hierarchy provided that the analysis consists of individual participant data of randomized ...