{"id":5545,"date":"2026-05-06T12:18:22","date_gmt":"2026-05-06T06:48:22","guid":{"rendered":"https:\/\/www.editage.com\/insights\/comic_strip\/4-important-precautions-for-biomedical-researchers-during-statistical-analysis\/"},"modified":"2026-05-08T17:02:55","modified_gmt":"2026-05-08T11:32:55","slug":"4-important-precautions-for-biomedical-researchers-during-statistical-analysis","status":"publish","type":"comic_strip","link":"https:\/\/www.editage.com\/insights\/4-important-precautions-for-biomedical-researchers-during-statistical-analysis","title":{"rendered":"What researchers should do BEFORE statistical analysis"},"content":{"rendered":"<p>Biomedical research is often conducted to make important decisions about health care, treatments, and public health. Therefore, the statistical analysis of biomedical research data needs to be accurate and rigorous to ensure that the conclusions drawn are appropriate and credible.<\/p>\n<p>The infographic below lists four important precautions that biomedical researchers need to take before <a style=\"color: #0563c1; text-decoration: underline;\" href=\"https:\/\/www.editage.com\/services\/publishing-services-packs\/statistical-analysis?utm_source=editageinsights&amp;utm_medium=infographic&amp;utm_campaign=editage-insights-site-precautions-in-stats-analysis--row\">conducting statistical analysis<\/a> and hypothesis testing.<\/p>\n<p style=\"margin: 0cm 0cm 8pt;\"><img fetchpriority=\"high\" decoding=\"async\" class=\"media-element file-default alignnone\" title=\"Default Title Text\" src=\"https:\/\/insights.cactusglobal.com\/sites\/default\/files\/full.jpg\" alt=\"Infographic titled \u201cFour Important Precautions for Biomedical Researchers During Statistical Analysis.\u201d It lists four key steps: checking data type (categorical vs continuous and appropriate tests like correlation or chi-square), checking data distribution (normal vs non-normal and use of parametric or non-parametric tests such as t-test or Mann\u2013Whitney U test), inspecting for outliers (noting their impact on statistics and the need to report handling), and verifying assumptions (ensuring conditions like equal variance for ANOVA are met). Each section is accompanied by simple illustrative graphs.\" width=\"1616\" height=\"2521\" \/><\/p>\n<h2>What Researchers Should Do Prior to Statistical Analysis<\/h2>\n<table>\n<thead>\n<tr>\n<th>Precaution<\/th>\n<th>Description<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Check Data Type<\/td>\n<td>The tests you need to use differ for categorical vs continuous vs nominal vs ordinal data. For example, you run a correlation analysis for continuous data but a chi-square test of association for categorical data.<\/td>\n<\/tr>\n<tr>\n<td>Check Data Distribution<\/td>\n<td>Parametric tests need to be run on normally distributed data, and non-parametric tests can be used for non-normally distributed data. For example, a t-test can be used to compare normally distributed data, but a Mann\u2013Whitney U test is needed for non-normal data.<\/td>\n<\/tr>\n<tr>\n<td>Inspect for Outliers<\/td>\n<td>Outliers can alter some of your descriptive statistics and the overall analyses. Always inspect for them and report how you\u2019ve treated them in your research paper.<\/td>\n<\/tr>\n<tr>\n<td>Verify All Assumptions<\/td>\n<td>Avoid running a test without confirming your data meet all the underlying assumptions. For example, an ANOVA requires all comparison groups to have the same variance.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"author":15,"featured_media":45978,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false},"categories":[2420,2417],"new_categories":[],"new_tags":[],"series":[],"class_list":["post-5545","comic_strip","type-comic_strip","status-publish","has-post-thumbnail","hentry","category-data-analysis","category-planning-to-write"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What researchers should do BEFORE statistical analysis | Editage Insights<\/title>\n<meta name=\"description\" content=\"This infographic will help you to understand four important precautions that biomedical researchers need to take before conducting statistical analysis and hypothesis testing.\" \/>\n<meta name=\"robots\" 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