{"id":19744,"date":"2025-02-08T20:15:24","date_gmt":"2025-02-08T19:15:24","guid":{"rendered":"https:\/\/novustat.com\/statistics-glossary\/continuous-outcome-non-inferiority-trial.html"},"modified":"2026-08-28T10:02:17","modified_gmt":"2026-08-28T08:02:17","slug":"continuous-outcome-non-inferiority-trial","status":"publish","type":"page","link":"https:\/\/novustat.com\/en\/statistics-glossary\/continuous-outcome-non-inferiority-trial.html","title":{"rendered":"Continuous Outcome Non-Inferiority Trial"},"content":{"rendered":"\t\t<div id=\"content\" role=\"main\" tabindex=\"-1\" data-elementor-type=\"wp-page\" data-elementor-id=\"19744\" class=\"elementor elementor-19744 elementor-19725\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-22811bc e-flex e-con-boxed e-con e-parent\" data-id=\"22811bc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-f319ca1 e-con-full e-flex e-con e-child\" data-id=\"f319ca1\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;animation&quot;:&quot;none&quot;,&quot;animation_delay&quot;:200}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a078d26 elementor-widget elementor-widget-html\" data-id=\"a078d26\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<div id=\"novu-blog-branding\" class=\"novu-blog-branding\" aria-label=\"NOVUSTAT Statistik Glossar\">\n\n  <img class=\"novu-blog-branding__logo\" src=\"https:\/\/novustat.com\/wp-content\/uploads\/2026\/05\/Novustat_Logo_Blau1.png\" alt=\"NOVUSTAT\" loading=\"eager\" decoding=\"async\">\n\n  <span class=\"novu-blog-branding__divider\" aria-hidden=\"true\"><\/span>\n\n  <div class=\"novu-blog-branding__label\">\n    <span class=\"novu-blog-branding__label-main\">STATISTICS<\/span>\n    <span class=\"novu-blog-branding__label-accent\">GLOSSARY<\/span>\n  <\/div>\n\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-538eccd elementor-widget elementor-widget-html\" data-id=\"538eccd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<div class=\"novu-glossar-divider-row\" aria-label=\"Glossarbegriff Continuous Outcome Non-Inferiority Trial\"><div class=\"novu-blog-divider\" aria-hidden=\"true\"><\/div><div class=\"novu-glossar-divider-row__context\"><span class=\"novu-glossar-divider-row__short-line\" aria-hidden=\"true\"><\/span><span class=\"novu-glossar-divider-row__title\">Non-Inferiority (cont.)<\/span><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-661c91d elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"661c91d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Continuous Outcome Non-Inferiority Trial<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec16868 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"ec16868\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<p>A <a href=\"#online-tool\"><em>Continuous Outcome Non-Inferiority Trial<\/em> <\/a>is a clinical trial method that aims to show that a <strong>new treatment is non-inferior to an existing treatment in terms of a continuous outcome,<\/strong> where an acceptable difference is defined. Continuous outcomes include numerical values such as cholesterol levels, pain intensity or weight loss, which can be measured on a scale. <\/p>\n\n\n<p><strong><strong><strong><strong>Novustat is your experienced partner and advises you on all aspects of statistics, from <a href=\"https:\/\/novustat.com\/en\/data-analysis.html\">data analysis<\/a> to the <a href=\"https:\/\/novustat.com\/statistische-beratung\/interpretation-statistik.html\">interpretation of results<\/a>, and helps you to gain maximum insight from your data sets. Contact us without obligation for further information! <\/strong><\/strong><\/strong><\/strong><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d972827 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"d972827\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f6443c7 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"f6443c7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><a id=\"online-tool\"><\/a>Free online calculators for calculating sample size<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9a4e098 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"9a4e098\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<p>Use our online calculator to quickly and easily calculate the optimal sample size for your non-inferiority study with continuous outcomes.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f45136a elementor-widget elementor-widget-html\" data-id=\"f45136a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<div class=\"novu-glossary-calculator\" role=\"region\" aria-label=\"Online-Rechner zur Stichprobengr\u00f6ssenplanung\"><iframe src=\"https:\/\/novustat-1.shinyapps.io\/shiny-app-out-non\/\" width=\"100%\" height=\"600\" frameborder=\"0\">\n  Your browser does not support embedded frames.\n<\/iframe><\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2f7f9a elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"b2f7f9a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/novustat.com\/statistik-blog\/klinische-studien-aequivalenz-nichtunterlegenheit.html#ergebnistypen\">Back to other tools<\/a><\/div>\n<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-de44065 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"de44065\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-268752b elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"268752b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Goal and concept<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-57083f2 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"57083f2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<p>The goal of a <em>non-inferiority trial<\/em> is to demonstrate that the new treatment may not be better, but is within a predetermined acceptable margin of difference from the existing treatment. This type of study is particularly <strong>useful when the new treatment offers advantages <\/strong>\u2014 <strong>such as lower costs, fewer side effects, or easier administration <\/strong>\u2014that could offset any potential loss of efficacy. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4382b43 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"4382b43\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64f2694 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"64f2694\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Calculating the sample size<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6d625f1 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"6d625f1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<p>Calculating the sample size is crucial to ensuring that the study has sufficient statistical power. This helps ensure valid and reliable results. The calculation takes into account the acceptable difference, the standard deviation of the results, the significance level, and the power. Our online calculator helps you accurately determine the required sample size.   <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3fc7c77 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"3fc7c77\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-93a1174 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"93a1174\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Application and requirements<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-94a0243 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"94a0243\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<p>An example of a <em>continuous outcome non-inferiority trial<\/em> would be the comparison of two cholesterol-lowering drugs. Suppose the new drug lowers LDL cholesterol by <strong>an average of 20 mg\/dL<\/strong> and the existing drug by 22 mg\/dL. The study shows that the new drug is not worse if a difference of up to 5 mg\/dL is considered clinically irrelevant. Such a study requires clear definitions of the non-inferiority threshold and robust statistical analyses in order to obtain valid results.   <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c76342 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"5c76342\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e82ea07 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"e82ea07\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Guidelines for calculating sample size for non-inferiority studies with continuous outcomes<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7050103 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"7050103\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<p>The calculation of <a href=\"https:\/\/novustat.com\/statistik-blog\/tag\/stichprobenumfang\" target=\"_blank\" rel=\"noreferrer noopener\">the sample size<\/a> is based on the expected difference between the groups, the standard deviation of the results, the significance level, and the statistical power. These factors ensure that the sample is large enough to yield valid and meaningful results. It ensures that the sample is large enough to yield valid and reliable results. These parameters ensure that the study is robust enough to demonstrate non-inferiority.   <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7e17bd3 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"7e17bd3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Significance level (alpha)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9ce686f elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"9ce686f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<p>The<strong> significance level (\u03b1)<\/strong> defines the risk of an error of the first kind, i.e. the probability of finding a difference even though none exists. An alpha of<strong> 0.05<\/strong> is usually selected, which corresponds to a<strong> 5% risk <\/strong>. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0787201 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"0787201\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Power (1-Beta)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a22349f elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"a22349f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<p>The<strong> power (1-\u03b2) <\/strong>indicates how likely it is that a true non-inferiority is correctly detected. A power of <strong>80% to 90% <\/strong>ensures that the study is sensitive enough to detect a clinically relevant difference. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-72453e5 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"72453e5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Standard deviation (\u03c3)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-95d50aa elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"95d50aa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<p>The <strong>standard deviation (\u03c3\u03c3)<\/strong> indicates the variability of the measured results within the groups. Greater variability requires a larger sample size to yield accurate results. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-52e141d elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"52e141d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Non-inferiority limit (\u0394)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9cce729 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"9cce729\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<p>The <strong>non-inferiority threshold (\u0394\u0394)<\/strong> defines the maximum acceptable difference between the groups at which the new treatment is still considered non-inferior. For example, a difference of 5 mg\/dL in cholesterol levels could be considered acceptable. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0cb4b84 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"0cb4b84\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Formula for calculation<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-06c4bf4 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"06c4bf4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t\n\n<p>The sample size is calculated using the following formula:<\/p>\n\n\n\n<div class=\"novu-trial-equation\">\\[n = \\frac{2 \\cdot f(\\alpha, \\beta) \\cdot \\sigma^2}{\\Delta^2}\\]<\/div>\n\n\n<p>Here, <strong>f(\u03b1, \u03b2) represents <\/strong>the Z-scores, which are determined by the significance level and the power. \u03c3 represents the standard deviation of the results, and \u0394 represents the non-inferiority margin. This formula ensures that the sample size is large enough to provide valid and statistically sound results in your non-inferiority study.  <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a86b659 e-con-full novu-r15-faq-row e-flex e-con e-child\" data-id=\"a86b659\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-e0fc4a1 e-con-full novu-r15-faq-intro e-flex e-con e-child\" data-id=\"e0fc4a1\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2b34383 elementor-widget elementor-widget-spacer\" data-id=\"2b34383\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c9811a0 elementor-widget elementor-widget-image\" data-id=\"c9811a0\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;none&quot;,&quot;_animation_delay&quot;:300}\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/novustat.com\/wp-content\/uploads\/2026\/06\/Novustat_N_Logo_Weiss_Blau1.o.b.png\" title=\"Novustat_N_Logo_White_Blue1.o.b\" alt=\"Novustat_N_Logo_White_Blue1.o.b\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a979ec3 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"a979ec3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-13ca2bc elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-heading\" data-id=\"13ca2bc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Frequently asked questions<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6b2fe20 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"6b2fe20\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-608d912 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<\/div>\n\n  <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f12601d e-con-full e-flex e-con e-child\" data-id=\"f12601d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;animation&quot;:&quot;none&quot;,&quot;animation_delay&quot;:200,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-96680cb elementor-widget elementor-widget-html\" data-id=\"96680cb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<div id=\"novu-faq-glossar-v1\" class=\"novu-faq-glossar-v1\">\n\n  <!-- =====================================================\n       FAQ 01\n       ===================================================== -->\n\n  <details class=\"novu-faq-glossar-v1__item\">\n\n    <summary class=\"novu-faq-glossar-v1__question\">\n\n      <span class=\"novu-faq-glossar-v1__question-text\">What is a continuous outcome non-inferiority trial?<\/span>\n\n      <span class=\"novu-faq-glossar-v1__icon\" aria-hidden=\"true\">\n        <svg viewBox=\"0 0 24 24\">\n          <path d=\"m7 10 5 5 5-5\"><\/path>\n        <\/svg>\n      <\/span>\n\n    <\/summary>\n\n    <div class=\"novu-faq-glossar-v1__answer\"><p>This study design tests whether a new treatment is not clinically meaningfully worse than the comparator for a continuous outcome.<\/p><\/div>\n\n  <\/details>\n\n\n  <!-- =====================================================\n       FAQ 02\n       ===================================================== -->\n\n  <details class=\"novu-faq-glossar-v1__item\">\n\n    <summary class=\"novu-faq-glossar-v1__question\">\n\n      <span class=\"novu-faq-glossar-v1__question-text\">When is a non-inferiority trial appropriate?<\/span>\n\n      <span class=\"novu-faq-glossar-v1__icon\" aria-hidden=\"true\">\n        <svg viewBox=\"0 0 24 24\">\n          <path d=\"m7 10 5 5 5-5\"><\/path>\n        <\/svg>\n      <\/span>\n\n    <\/summary>\n\n    <div class=\"novu-faq-glossar-v1__answer\"><p>It is appropriate when the new treatment offers other advantages, such as fewer side effects, lower costs, or easier administration.<\/p><\/div>\n\n  <\/details>\n\n\n  <!-- =====================================================\n       FAQ 03\n       ===================================================== -->\n\n  <details class=\"novu-faq-glossar-v1__item\">\n\n    <summary class=\"novu-faq-glossar-v1__question\">\n\n      <span class=\"novu-faq-glossar-v1__question-text\">What does the non-inferiority margin represent?<\/span>\n\n      <span class=\"novu-faq-glossar-v1__icon\" aria-hidden=\"true\">\n        <svg viewBox=\"0 0 24 24\">\n          <path d=\"m7 10 5 5 5-5\"><\/path>\n        <\/svg>\n      <\/span>\n\n    <\/summary>\n\n    <div class=\"novu-faq-glossar-v1__answer\"><p>It defines the largest still acceptable disadvantage of the new treatment versus the control.<\/p><\/div>\n\n  <\/details>\n\n\n  <!-- =====================================================\n       FAQ 04\n       ===================================================== -->\n\n  <details class=\"novu-faq-glossar-v1__item\">\n\n    <summary class=\"novu-faq-glossar-v1__question\">\n\n      <span class=\"novu-faq-glossar-v1__question-text\">Which parameters determine the sample size?<\/span>\n\n      <span class=\"novu-faq-glossar-v1__icon\" aria-hidden=\"true\">\n        <svg viewBox=\"0 0 24 24\">\n          <path d=\"m7 10 5 5 5-5\"><\/path>\n        <\/svg>\n      <\/span>\n\n    <\/summary>\n\n    <div class=\"novu-faq-glossar-v1__answer\"><p>The expected difference, standard deviation, non-inferiority margin, significance level, and power influence the required sample size.<\/p><\/div>\n\n  <\/details>\n\n\n  <!-- =====================================================\n       FAQ 05\n       ===================================================== -->\n\n  <details class=\"novu-faq-glossar-v1__item\">\n\n    <summary class=\"novu-faq-glossar-v1__question\">\n\n      <span class=\"novu-faq-glossar-v1__question-text\">How is a continuous outcome evaluated?<\/span>\n\n      <span class=\"novu-faq-glossar-v1__icon\" aria-hidden=\"true\">\n        <svg viewBox=\"0 0 24 24\">\n          <path d=\"m7 10 5 5 5-5\"><\/path>\n        <\/svg>\n      <\/span>\n\n    <\/summary>\n\n    <div class=\"novu-faq-glossar-v1__answer\"><p>The groups are compared using numerical measurements; the uncertainty of the estimated difference is assessed relative to the predefined margin.<\/p><\/div>\n\n  <\/details>\n\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c1467a5 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"c1467a5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c124e07 e-con-full e-flex e-con e-child\" data-id=\"c124e07\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-b4699f8 e-con-full e-flex e-con e-child\" data-id=\"b4699f8\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-09561ec elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"09561ec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Plan non-inferiority trials with continuous outcomes robustly.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-89bd005 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"89bd005\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">A no-obligation initial assessment of your clinical research question.<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8aa14e7 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"8aa14e7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>NOVUSTAT supports you in justifying the non-inferiority margin, modeling expected variability, planning sample size, and conducting the statistical analysis.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8f02e27 elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"8f02e27\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<div class=\"elementor-heading-title elementor-size-default\">Justify margins transparently. Model variability realistically. Demonstrate non-inferiority robustly.<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5b1e0a8 elementor-widget elementor-widget-html\" data-id=\"5b1e0a8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<div id=\"novu-hero-buttons-only\">\n  <div class=\"novu-hero-buttons-row\">\n\n    <a class=\"novu-hero-btn novu-hero-btn-request\" href=\"\/en\/get-free-quote.html\">\n      <span class=\"novu-hero-btn-inner\">\n        <span class=\"novu-hero-icon\" aria-hidden=\"true\">\n          <svg viewBox=\"0 0 24 24\">\n            <path d=\"M22 2 11 13\"><\/path>\n            <path d=\"M22 2 15 22 11 13 2 9 22 2z\"><\/path>\n          <\/svg>\n        <\/span>\n        <span class=\"novu-hero-btn-text\">Request a Consultation<\/span>\n      <\/span>\n    <\/a>\n\n    <a class=\"novu-hero-btn novu-hero-btn-mail\" href=\"&#x6d;&#x61;&#x69;&#x6c;&#x74;&#x6f;&#x3a;&#x69;&#x6e;&#x66;&#x6f;&#x40;&#x6e;&#x6f;&#x76;&#x75;&#x73;&#x74;&#x61;&#x74;&#x2e;&#x63;&#111;&#109;\">\n      <span class=\"novu-hero-btn-inner\">\n        <span class=\"novu-hero-icon\" aria-hidden=\"true\">\n          <svg viewBox=\"0 0 24 24\">\n            <rect x=\"3\" y=\"5\" width=\"18\" height=\"14\" rx=\"2\" ry=\"2\"><\/rect>\n            <path d=\"M3 7l9 6 9-6\"><\/path>\n          <\/svg>\n        <\/span>\n        <span class=\"novu-hero-btn-text\">Email Us<\/span>\n      <\/span>\n    <\/a>\n\n  <\/div>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-91e9833 elementor-widget elementor-widget-html\" data-id=\"91e9833\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<div\n  id=\"novu-cta-phone-row\"\n  class=\"novu-cta-phone-row\"\n  aria-label=\"NOVUSTAT Telefonnummern\"\n>\n\n  <div class=\"novu-cta-phone-row__item novu-cta-phone-row__item--de\">\n\n    <div\n      class=\"novu-cta-phone-row__flag novu-cta-phone-row__flag--de\"\n      role=\"img\"\n      aria-label=\"Deutschland\"\n    ><\/div>\n\n    <a\n      class=\"novu-cta-phone-row__number\"\n      href=\"tel:+4921199346512\"\n      aria-label=\"NOVUSTAT Deutschland anrufen unter +49 0 211 99346512\"\n    >\n      +49 (0) 211 99346512\n    <\/a>\n\n  <\/div>\n\n\n  <div class=\"novu-cta-phone-row__item novu-cta-phone-row__item--ch\">\n\n    <div\n      class=\"novu-cta-phone-row__flag novu-cta-phone-row__flag--ch\"\n      role=\"img\"\n      aria-label=\"Schweiz\"\n    ><\/div>\n\n    <a\n      class=\"novu-cta-phone-row__number\"\n      href=\"tel:+41788911111\"\n      aria-label=\"NOVUSTAT Schweiz anrufen unter +41 0 78 89 11111\"\n    >\n      +41 (0) 78 89 11111\n    <\/a>\n\n  <\/div>\n\n\n  <div class=\"novu-cta-phone-row__item novu-cta-phone-row__item--us\">\n\n    <div\n      class=\"novu-cta-phone-row__flag\" style=\"background:none;display:flex;align-items:center;justify-content:center;font-size:24px;line-height:1;\"\n      role=\"img\"\n      aria-label=\"United States\"\n    ><img class=\"novu-glossary-us-flag-png novu-us-flag\" src=\"https:\/\/novustat.com\/wp-content\/uploads\/2026\/10\/novustat-united-states-flag.png\" alt=\"United States\" width=\"36\" height=\"24\" decoding=\"async\"><\/div>\n\n    <a\n      class=\"novu-cta-phone-row__number\"\n      href=\"tel:+18885233685\"\n      aria-label=\"Call NOVUSTAT USA at +1 888 5233685\"\n    >\n      +1 (888) 5233685\n    <\/a>\n\n  <\/div>\n\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eb563df novu-gdpr-badge-widget elementor-widget elementor-widget-image\" data-id=\"eb563df\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1000\" height=\"1000\" src=\"https:\/\/novustat.com\/wp-content\/uploads\/2026\/06\/DSGVO-konform-Badge-NOVUSTAT_ergebnis-e1781089815189.webp\" class=\"attachment-full size-full wp-image-37907\" alt=\"GDPR-compliant trust element on the NOVUSTAT website\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>A Continuous Outcome Non-Inferiority Trial is a clinical trial method that aims to show that a new treatment is non-inferior to an existing treatment in terms of a continuous outcome, where an acceptable difference is defined. Continuous outcomes include numerical values such as cholesterol levels, pain intensity or weight loss, which can be measured on [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":0,"parent":19740,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-glossar.php","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","footnotes":""},"class_list":["post-19744","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Continuous Outcome Non-Inferiority Trial - Statistik Service<\/title>\n<meta name=\"description\" content=\"Non-inferiority trials explained simply: Is a new treatment as good as the existing one? 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