{"id":4122,"date":"2023-03-06T07:05:58","date_gmt":"2023-03-06T07:05:58","guid":{"rendered":"https:\/\/www.editage.com\/insights\/meta-analysis-made-easy-6-essential-statistical-considerations-to-keep-in-mind\/"},"modified":"2026-04-13T09:05:53","modified_gmt":"2026-04-13T03:35:53","slug":"6-important-statistical-considerations-while-conducting-a-meta-analysis","status":"publish","type":"post","link":"https:\/\/www.editage.com\/insights\/6-important-statistical-considerations-while-conducting-a-meta-analysis","title":{"rendered":"Meta-analysis made easy: 6 Essential statistical considerations to keep in mind"},"content":{"rendered":"<p>Conducting an effective meta-analysis requires paying attention to 6 essential statistical considerations:<\/p>\n<ol>\n<li><a href=\"#_1._Research_Question\">Research Question<\/a><\/li>\n<li><a href=\"#_2._Defining_Outcomes\">Defining Outcomes<\/a><\/li>\n<li><a href=\"#_3._Handling_Missing\">Handling Missing Data<\/a><\/li>\n<li><a href=\"#_4._Heterogeneity\">Heterogeneity<\/a><\/li>\n<li><a href=\"#_5._Risk_of\">Risk of Bias<\/a><\/li>\n<li><a href=\"#_6._Sensitivity\">Sensitivity<\/a><\/li>\n<\/ol>\n<p>As the volume of published literature in the biomedical sciences increases, literature syntheses and meta-analyses become increasingly important because they enable researchers and practitioners to quickly and efficiently keep abreast of the overall state of evidence on a particular intervention, clinical outcome, or condition.<\/p>\n<h2>What is meta-analysis?<\/h2>\n<p>Meta-analysis is a statistical technique used to combine evidence provided by multiple studies, thereby improving the precision of existing knowledge, uncovering answers to questions that are not solved by individual studies, and resolving conflicting scientific claims or data.<\/p>\n<h2>How to report a meta-analysis?<\/h2>\n<p>The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) checklist (<a href=\"https:\/\/www.bmj.com\/content\/372\/bmj.n71\">updated in 2020<\/a>) is a valuable resource when reporting a meta-analysis in a research manuscript.<\/p>\n<h2>What kind of statistical analysis is performed in a meta-analysis?<\/h2>\n<p>The statistical component of a meta-analysis usually involves<\/p>\n<ul>\n<li>Calculating a summary statistic for each of the studies included and<\/li>\n<li>Calculating a combined (i.e., summarized) intervention effect estimate.<\/li>\n<\/ul>\n<h2>What is a forest plot?<\/h2>\n<p>Meta-analyses are usually illustrated using a forest plot, which is a visual depiction of effect estimates and confidence intervals for both individual studies and the overall meta-analysis.<\/p>\n<h2>Statistical Considerations During Meta-Analysis<\/h2>\n<p>Because meta-analyses can have a substantial impact on the decisions made by clinicians, researchers, policymakers, etc., they need to be conducted carefully and rigorously. Below, we list some important steps you need to follow while conducting a meta-analysis<\/p>\n<h3>1. Research Question<\/h3>\n<p>Formulate a strong and precise research question\/objective. This allows you to determine what data you need to extract and which variables you will be paying attention to. For example, \u201cinterventions for diabetes management\u201d is a very broad-ranging topic; it\u2019s advisable to narrow it down to something like \u201cexercise interventions to improve glycemic control\u201d or \u201cvitamin D supplementation to improve glucose metabolism\u201d.<\/p>\n<h3>2. Defining Outcomes<\/h3>\n<p>List and define all the outcomes for which you are seeking data. Two studies on the same topic may collect data on different outcomes (e.g., one study on a weight-loss intervention may measure percentage of weight changed while another study on the same intervention may measure change in body mass index).<\/p>\n<h3>3. Handling Missing Data<\/h3>\n<p>Follow a defined method for handling missing summary statistics, data conversions, etc. These methods include multiple imputation, inverse-probability weighing, and complete-case analysis. You will also need to report the methods you have used in your research manuscript under the Methods section.<\/p>\n<h3>4. Heterogeneity<\/h3>\n<p>Always calculate and report statistical heterogeneity. Heterogeneity (widely calculated using Cochran\u2019s Q and the I<sup>2<\/sup> statistic) gives your readers an idea about the variation in observed outcomes or intervention effects between studies. A certain amount of heterogeneity is expected between the studies included in your meta-analysis, but it must be quantified and reported.<\/p>\n<h3>5. Risk of Bias<\/h3>\n<p>Always assess and report risk of bias for each included study. Because the quality of each study included in the meta-analysis may vary, it is important to evaluate every study&#8217;s design, conduct, and reporting to identify any factors that could introduce bias. Assessing risk of bias allows you to determine the quality of evidence provided by different studies and to judge the reliability of the overall effect size estimate. There numerous tools available to assess risk of bias, such as the <a href=\"https:\/\/methods.cochrane.org\/risk-bias-2\">Cochrane RoB tool and RoB 2.0 tool<\/a>, the <a href=\"https:\/\/epoc.cochrane.org\/resources\/epoc-resources-review-authors\">Effective Practice and Organisation of Care (EPOC) RoB tool<\/a>, or the <a href=\"https:\/\/www.nhlbi.nih.gov\/health-topics\/study-quality-assessment-tools\">NIH quality assessment tools<\/a>.<\/p>\n<h3>6. Sensitivity<\/h3>\n<p>Conduct and report the results of sensitivity analysis. Sensitivity analysis can help readers determine how robust the overall findings of your meta-analysis are, by indicating the impact of individual studies on the overall outcomes. Sensitivity analysis can also help you determine which studies are outliers (i.e., those with unusually large or small effects compared to other similar studies).<\/p>\n<p><em>Looking for expert advice from a biostatistician in conducting your next meta-analysis or research project? Editage\u2019s Statistical Analysis &amp; Review service can help. <\/em><a href=\"https:\/\/www.editage.com\/services\/publishing-services-packs\/statistical-analysis?utm_source=editageinsights&amp;utm_medium=article&amp;utm_campaign=editage-insights-site-meta-analysis--row\"><em>Book your\u00a0consultation<\/em><\/a><em> today.<\/em><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>1. What&#8217;s the best way to extract data for a meta-analysis?<\/h3>\n<p>The best way to extract data for a meta-analysis is to used a pre-determined, standardized form, that you have ideally tested in a pilot study. Ideally you should have 2 or more researchers independently review the literature and document study characteristics like sample demographics, interventions performed, and outcomes.<\/p>\n<h3>2. What software is needed for a meta-analysis?<\/h3>\n<p>RevMan, developed by Cochrane, is one of the best-known tools for meta-analysis. Other good options are R (meta\/metafor packages), Comprehensive Meta-Analysis, and Stata. Free options include Meta Essentials, which is Excel-based and ideal for beginners, and OpenMetaAnalyst.<\/p>\n<h3>3. What are common pitfalls while conducting a meta-analysis?<\/h3>\n<p>Common pitfalls while conducting a meta-analysis include<\/p>\n<ol>\n<li>File drawer problem: studies with statistically significant results are more likely to be published than those without statistically significant results, leading to publication bias<\/li>\n<li>Heterogeneity issues: combining studies with drastically different populations or interventions can make it difficult to draw any meaningful conclusions. Also, when you have a lot of heterogeneity, you need to use a random-effects model that can account for it.<\/li>\n<li>Limiting your search to only English-language articles or relying on too few databases<\/li>\n<li>Ignoring study quality: Including severely underpowered studies or those with a high risk of bias<\/li>\n<li>Focusing too much on within-group changes rather than between-group changes: It&#8217;s important that you report between-group effect sizes that directly compare the improvements in the intervention groups to their respective control groups.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Conducting an effective meta-analysis requires paying attention to 6 essential statistical considerations: Research Question Defining Outcomes Handling Missing Data Heterogeneity Risk of Bias Sensitivity As the volume of published literature in the biomedical sciences increases, literature syntheses and meta-analyses become increasingly important because they enable researchers and practitioners to quickly and efficiently keep abreast of [&hellip;]<\/p>\n","protected":false},"author":15,"featured_media":45970,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[2420,2403],"tags":[2686],"new_categories":[],"new_tags":[],"series":[],"class_list":["post-4122","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-analysis","category-publication-support-services","tag-meta-analysis"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>6 statistical considerations for meta-analysis | Editage Insights<\/title>\n<meta name=\"description\" content=\"Learn how to conduct a meta-analysis, including aspects like sensitivity, heterogeneity, risk of bias, and missing data.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.editage.com\/insights\/6-important-statistical-considerations-while-conducting-a-meta-analysis\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Meta-analysis made easy: 6 Essential statistical considerations to keep in mind | Editage Insights\" \/>\n<meta property=\"og:description\" content=\"Because meta-analyses can have a substantial impact on the decisions made by clinicians, researchers, policymakers, etc., they need to be conducted carefully and rigorously. In this article, we list some important steps you need to follow while conducting a meta-analysis.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.editage.com\/insights\/6-important-statistical-considerations-while-conducting-a-meta-analysis\" \/>\n<meta property=\"og:site_name\" content=\"Editage Insights\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Editage\" \/>\n<meta property=\"article:published_time\" content=\"2023-03-06T07:05:58+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-13T03:35:53+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2023\/03\/Gemini_Generated_Image_fp6ia6fp6ia6fp6i-2-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"959\" \/>\n\t<meta property=\"og:image:height\" content=\"574\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Marisha Fonseca\" \/>\n<meta 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