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Meta-analysis: How to quantify and explain heterogeneity?
European Journal of Cardiovascular Nursing ( IF 2.9 ) Pub Date : 2020-08-05 , DOI: 10.1177/1474515120944014
Todd Ruppar 1
Affiliation  

The number of systematic reviews and meta-analyses submitted to nursing and allied health journals continues to grow. Well-conducted and reported syntheses of research are valuable to advancing science. One of the common critiques identified in these manuscripts involves how the authors addressed heterogeneity among the studies in their meta-analyses. Methodologically inappropriate approaches regarding heterogeneity introduce error and bias into analyses and may lead to incorrect findings and conclusions. This article will discuss some of the approaches to take as well as avoid when addressing heterogeneity in meta-analyses, including suggestions for how to choose a fixed-effect or random-effects meta-analysis model and steps to follow to address heterogeneity in meta-analysis results.

中文翻译:

Meta分析:如何量化和解释异质性?

提交给护理和相关健康期刊的系统评价和荟萃分析的数量继续增长。精心策划和报告的研究综合对推进科学很有价值。这些手稿中发现的常见批评之一涉及作者如何在荟萃分析中解决研究之间的异质性。关于异质性的方法学上不恰当的方法会在分析中引入错误和偏见,并可能导致错误的发现和结论。本文将讨论在解决荟萃分析中的异质性时应采取和避免的一些方法,包括有关如何选择固定效应或随机效应荟萃分析模型的建议以及解决荟萃分析中异质性的步骤。分析结果。
更新日期:2020-08-05
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