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- DictionaryMet·a-a·nal·y·sis/ˈmedəəˌnaləsəs/
noun
- 1. examination of data from a number of independent studies of the same subject, in order to determine overall trends: "an important component of meta-analysis is the investigation of the consistency of treatment effects across studies"
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Meta-analysis is the statistical combination of the results of multiple studies addressing a similar research question. An important part of this method involves computing an effect size across all of the studies; this involves extracting effect sizes and variance measures from various studies.
Sep 25, 2023 · Definition. A subset of systematic reviews; a method for systematically combining pertinent qualitative and quantitative study data from several selected studies to develop a single conclusion that has greater statistical power.
May 24, 2016 · Learn the meaning of meta-analysis, a quantitative statistical analysis of several similar experiments or studies. See examples, word history, related articles and medical definition of meta-analysis.
Apr 2, 2018 · A meta-analysis is a valid, objective, and scientific method of analyzing and combining different results. Usually, in order to obtain more reliable results, a meta-analysis is mainly conducted on randomized controlled trials (RCTs), which have a high level of evidence [ 2] ( Fig. 1 ).
- EunJin Ahn, Hyun Kang
- 10.4097/kjae.2018.71.2.103
- 2018
- 2018/04
What Is Meta-analysis? Meta-analysis is an objective examination of published data from many studies of the same research topic identified through a literature...
Nov 30, 2021 · A meta-analysis is a quantitative synthesis of primary studies that aims to accumulate knowledge and test theoretical assumptions in various fields. This article provides a workflow of the essential steps, methodological recommendations, and references for conducting a meta-analysis in management research.
May 15, 2024 · Meta-analysis is a statistical approach to synthesize the results of multiple studies on the same or similar topics. Learn about its history, methods, benefits, and challenges in medicine, epidemiology, and other fields.