{"id":19746,"date":"2025-02-08T20:17:00","date_gmt":"2025-02-08T19:17:00","guid":{"rendered":"https:\/\/novustat.com\/statistics-glossary\/binary-outcome-non-inferiority-trial.html"},"modified":"2026-08-28T10:02:41","modified_gmt":"2026-08-28T08:02:41","slug":"binary-outcome-non-inferiority-trial","status":"publish","type":"page","link":"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-non-inferiority-trial.html","title":{"rendered":"Binary Outcome Non-Inferiority Trial"},"content":{"rendered":"\t\t<div id=\"content\" role=\"main\" tabindex=\"-1\" data-elementor-type=\"wp-page\" data-elementor-id=\"19746\" class=\"elementor elementor-19746 elementor-19727\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-28e5753 e-flex e-con-boxed e-con e-parent\" data-id=\"28e5753\" 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-ba36479 e-con-full e-flex e-con e-child\" data-id=\"ba36479\" 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-425b5a8 elementor-widget elementor-widget-html\" data-id=\"425b5a8\" 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-919ef28 elementor-widget elementor-widget-html\" data-id=\"919ef28\" 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 Binary 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 (binary)<\/span><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c52e837 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"c52e837\" 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\">Binary Outcome Non-Inferiority Trial<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1be3264 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"1be3264\" 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 <em><a href=\"#online-tool\">Binary Outcome Non-Inferiority Trial<\/a><\/em> is a clinical trial method that aims to prove that a new treatment is not inferior to an established treatment with regard to a binary outcome. Such outcomes can be, for example, <strong>&#8220;success&#8221; vs. &#8220;failure&#8221; or &#8220;survival&#8221; vs. &#8220;death&#8221;<\/strong>. <\/p>\n\n\n<p><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><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d4c4f4b elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"d4c4f4b\" 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-8bb41ff elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"8bb41ff\" 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-e9a32e8 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"e9a32e8\" 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 has no clinically relevant disadvantage compared to the existing treatment. In contrast to superiority trials, which aim to demonstrate a better outcome, or equivalence trials, which are designed to prove equivalence, a non-inferiority trial defines an acceptable level of inferior performance, known as the non-inferiority margin. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5cdd062 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"5cdd062\" 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-44db59d elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"44db59d\" 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\">Free online calculators for calculating sample size<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b792da elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"9b792da\" 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 required sample size for your non-inferiority study.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-93aa8a6 elementor-widget elementor-widget-html\" data-id=\"93aa8a6\" 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\/shinyapp-binary-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-cae2369 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"cae2369\" 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-74a27ff elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"74a27ff\" 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-e9ba256 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"e9ba256\" 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-458c99d elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"458c99d\" 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 essential to ensure that the study has sufficient statistical power to demonstrate non-inferiority. A predefined difference (the non-inferiority margin) is used to define the clinically acceptable difference between the groups. Our specialized calculator helps you determine the optimal sample size based on these parameters.  <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-754623f elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"754623f\" 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-aaca48f elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"aaca48f\" 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-b965ac0 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"b965ac0\" 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>binary outcome non-inferiority trial<\/em> would be the comparison of a new generic drug with a branded drug for the treatment of a disease where the primary outcome is <strong>&#8220;success&#8221; vs. &#8220;failure&#8221;<\/strong>. Setting the non-inferiority threshold at 10% means that the cure rate of the new drug must not be more than 10% worse than that of the branded drug to be considered non-inferior.<br\/>Conducting such a trial requires a clear definition of the non-inferiority threshold as well as careful planning and analysis to avoid bias and ensure valid results. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6ad1bbb elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"6ad1bbb\" 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-7e6b273 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"7e6b273\" 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 binary outcomes<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d6adab5 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"d6adab5\" 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 success rate in both groups, the specified non-inferiority margin, and the statistical parameters of significance level and power.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e043d0d elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"e043d0d\" 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-c26b5ab elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"c26b5ab\" 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<\/strong>, also known as <strong>alpha (\u03b1) <\/strong>, describes the risk of falsely detecting a difference between the groups when none exists. An alpha of <strong>0.05 <\/strong>is usually used. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2c046cd elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"2c046cd\" 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-aa703d1 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"aa703d1\" 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 of a study (1-\u03b2) <\/strong>shows how likely it is to detect a real difference when it actually exists. In non-inferiority trials, a power of <strong>80% to 90%<\/strong> is often aimed for to ensure reliable results. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-108ed61 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"108ed61\" 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\">Percentage success rate in both groups<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0cc8c28 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"0cc8c28\" 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>success rate (\u03c0\\pi)<\/strong> is the proportion of patients who achieve the desired result in both groups. In non-inferiority trials, it is assumed that the success rates of both groups are similar but not identical. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-403c886 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"403c886\" 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 (d)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ffac927 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"ffac927\" 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 (dd)<\/strong> defines the maximum acceptable difference between the success rates of the two groups at which the new treatment is still considered non-inferior. For example, a value of <strong>10% (d = 10) <\/strong>could mean that a difference of up to 10% is considered acceptable. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6e5b5aa elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"6e5b5aa\" 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-f7641b6 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"f7641b6\" 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{f(\\alpha, \\beta) \\cdot \\left[ \\pi_1 (100-\\pi_1) + \\pi_2 (100-\\pi_2) \\right]}{d^2}\\]<\/div>\n\n\n<p>Here, \u03c0<sub>1<\/sub> represents the success rate in the experimental group, \u03c0<sub>2<\/sub> represents the success rate in the control group, and f(\u03b1, \u03b2) represents the Z-scores, which are determined by the significance level and the power. This formula ensures that the sample size calculation is accurate and yields meaningful 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-debbbbe e-con-full novu-r15-faq-row e-flex e-con e-child\" data-id=\"debbbbe\" 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-e6c2da2 e-con-full novu-r15-faq-intro e-flex e-con e-child\" data-id=\"e6c2da2\" 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-7ca0adf elementor-widget elementor-widget-spacer\" data-id=\"7ca0adf\" 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-73dad2f elementor-widget elementor-widget-image\" data-id=\"73dad2f\" 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-0f647de elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"0f647de\" 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-35e53e5 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-heading\" data-id=\"35e53e5\" 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-4b1effd elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"4b1effd\" 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-5af6b45 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4.06 2h3a2 2 0 0 1 2 1.72c.12.91.33 1.8.63 2.65a2 2 0 0 1-.45 2.11L8 9.72a16 16 0 0 0 6.28 6.28l1.24-1.24a2 2 0 0 1 2.11-.45c.85.3 1.74.51 2.65.63A2 2 0 0 1 22 16.92z\"><\/path>\n          <\/svg>\n        <\/span>\n        <span>Call<\/span>\n      <\/button>\n\n      <div class=\"novu-hero-call-menu\">\n        <a href=\"tel:+4921199346512\">\n          <span class=\"novu-header-flag novu-header-flag--de\"><\/span>\n          <strong>+49 (0) 211 99346512<\/strong>\n        <\/a>\n\n        <a href=\"tel:+41788911111\">\n          <span class=\"novu-header-flag novu-header-flag--ch\"><\/span>\n          <strong>+41 (0) 78 89 11111<\/strong>\n        <\/a>\n\n        <a href=\"tel:+18885233685\">\n          <span class=\"novu-header-flag novu-header-flag--us\" style=\"background-image:url(https:\/\/novustat.com\/wp-content\/uploads\/2026\/10\/novustat-united-states-flag.png)!important\"><\/span>\n          <strong>+1 (888) 5233685<\/strong>\n        <\/a>\n      <\/div>\n    <\/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-7be14f0 e-con-full e-flex e-con e-child\" data-id=\"7be14f0\" 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-9a74562 elementor-widget elementor-widget-html\" data-id=\"9a74562\" 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 binary 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 trial examines whether a new treatment is no more than a predefined acceptable margin worse than the control for a binary 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\">What is the non-inferiority margin?<\/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 maximum acceptable disadvantage of the new treatment compared with the established comparator.<\/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\">When is this study design 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 a new treatment offers other advantages, such as lower costs, fewer side effects, or easier administration.<\/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 factors 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>Expected success rates, the non-inferiority margin, significance level, and desired power determine 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 does non-inferiority differ from equivalence?<\/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>Non-inferiority tests one-sided whether the new treatment is not meaningfully worse. Equivalence requires the difference to lie within both margins.<\/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-5aa8686 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"5aa8686\" 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-f6f4cc5 e-con-full e-flex e-con e-child\" data-id=\"f6f4cc5\" 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-c56a0cf e-con-full e-flex e-con e-child\" data-id=\"c56a0cf\" 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-e8f7c2b elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"e8f7c2b\" 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 binary outcomes with confidence.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-01399e4 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"01399e4\" 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 study.<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3871a9c elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"3871a9c\" 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 from justifying the non-inferiority margin and planning sample size through statistical analysis and transparent interpretation of binary outcomes.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0b034d5 elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"0b034d5\" 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 clinically. Plan sample sizes accurately. Assess non-inferiority robustly.<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fcf2f4d elementor-widget elementor-widget-html\" data-id=\"fcf2f4d\" 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;&#105;lt&#x6f;&#x3a;&#105;&#110;f&#x6f;&#x40;&#110;&#111;v&#x75;&#x73;&#x74;&#97;t&#46;&#x63;&#x6f;&#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-8d7a742 elementor-widget elementor-widget-html\" data-id=\"8d7a742\" 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-84a4afc novu-gdpr-badge-widget elementor-widget elementor-widget-image\" data-id=\"84a4afc\" 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 Binary Outcome Non-Inferiority Trial is a clinical trial method that aims to prove that a new treatment is not inferior to an established treatment with regard to a binary outcome. Such outcomes can be, for example, &#8220;success&#8221; vs. &#8220;failure&#8221; or &#8220;survival&#8221; vs. &#8220;death&#8221;. Novustat is your experienced partner and advises you on all aspects [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":0,"parent":19740,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","footnotes":""},"class_list":["post-19746","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>Binary Outcome Non-Inferiority Trial - Statistik Service<\/title>\n<meta name=\"description\" content=\"Binary Outcome Equivalence Trials: Prove that a new treatment is at least as good as the standard therapy.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-non-inferiority-trial.html\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Binary Outcome Non-Inferiority Trial - 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