{"id":19750,"date":"2025-02-08T20:19:47","date_gmt":"2025-02-08T19:19:47","guid":{"rendered":"https:\/\/novustat.com\/statistics-glossary\/binary-outcome-equivalence-trial.html"},"modified":"2026-08-28T10:00:25","modified_gmt":"2026-08-28T08:00:25","slug":"binary-outcome-equivalence-trial","status":"publish","type":"page","link":"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html","title":{"rendered":"Binary Outcome Equivalence Trial"},"content":{"rendered":"\t\t<div id=\"content\" role=\"main\" tabindex=\"-1\" data-elementor-type=\"wp-page\" data-elementor-id=\"19750\" class=\"elementor elementor-19750 elementor-19731\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8b67562 e-flex e-con-boxed e-con e-parent\" data-id=\"8b67562\" 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-cf9a351 e-con-full e-flex e-con e-child\" data-id=\"cf9a351\" 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-f42fc43 elementor-widget elementor-widget-html\" data-id=\"f42fc43\" 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-c4d8920 elementor-widget elementor-widget-html\" data-id=\"c4d8920\" 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 Equivalence 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\">Equivalence (binary)<\/span><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9e375fa elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"9e375fa\" 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 Equivalence Trial<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ba72b25 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"ba72b25\" 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 Equivalence Trial<\/a><\/em> is a clinical trial method that aims to <strong>prove that two treatment methods<\/strong> are <strong>equivalent in terms of a binary outcome<\/strong>. A <strong>binary outcome <\/strong>can be, for example, <strong>&#8220;success&#8221; vs. &#8220;failure&#8221;<\/strong> or <strong>&#8220;survival&#8221; vs. &#8220;death&#8221;<\/strong>. <\/p>\n\n\n<p><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><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-993f584 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"993f584\" 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-3bfc84b elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"3bfc84b\" 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=\"__RefHeading___Toc2744_3401088015\"><\/a>Goal and concept<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec61422 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"ec61422\" 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>aim<\/strong> of such a study is to show that the <strong>difference in outcome between two groups<\/strong> is <strong>not clinically <a href=\"https:\/\/novustat.com\/statistik-glossar\/signifikanz-statistik.html\" target=\"_blank\" rel=\"noreferrer noopener\">significant<\/a><\/strong>. In contrast to superiority studies, in which one treatment is to be shown to be better than the other, the <strong>focus<\/strong> here is on <strong>demonstrating equivalence<\/strong>. This means that the new treatment has no significant advantage or disadvantage compared to the existing treatment.  <\/p>\n\n\n<p>Calculating the sample size for a binary outcome equivalence trial is crucial. It ensures that the study provides a high degree of statistical certainty. This involves defining an <strong>acceptable difference<\/strong> between the two groups, within which the results are considered equivalent. Our calculator for such studies helps determine this difference and the corresponding sample size.   <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1657cbf elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"1657cbf\" 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-0177981 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"0177981\" 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-87477e5 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"87477e5\" 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 determine the required sample size for your equivalence study.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-067b50e elementor-widget elementor-widget-html\" data-id=\"067b50e\" 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\/\" width=\"100%\" height=\"600\"><\/iframe><\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5ae7333 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"5ae7333\" 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-1eb7ec6 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"1eb7ec6\" 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-540baae elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"540baae\" 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>Application and requirements<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3cbff3e elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"3cbff3e\" 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 typical example of a binary outcome equivalence trial would be the comparison of two medications for the treatment of a disease where the primary outcome is the cure rate, e.g. <strong>&#8220;cured&#8221; vs. &#8220;not cured&#8221;<\/strong>). If a difference of 5% is considered clinically irrelevant, the trial would show that the two drugs are equivalent in this respect if the cure rates in both groups are within this 5% range. <\/p>\n\n\n<p>Overall, conducting a binary outcome equivalence trial requires careful planning and precise definition of equivalence boundaries as well as sound statistical analysis to ensure that the results are valid and clinically relevant.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-519d310 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"519d310\" 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-5dc6bb8 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"5dc6bb8\" 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=\"__RefHeading___Toc2752_3401088015\"><\/a>Guidelines for calculating sample size for equivalence studies with binary outcomes<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-84ad330 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"84ad330\" 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>To ensure that a binary outcome equivalence trial is statistically valid, the <a href=\"https:\/\/novustat.com\/statistik-blog\/tag\/stichprobenumfang\" target=\"_blank\" rel=\"noreferrer noopener\">sample size<\/a> must be calculated to achieve the desired significance level and statistical power. The calculation is based on a <strong>specified significance level and <\/strong>a desired <strong>power<\/strong>. In addition, a <strong>defined equivalence margin<\/strong> is used, which specifies the acceptable difference between the two treatment groups.  <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ff8bb82 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"ff8bb82\" 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\"><a id=\"__RefHeading___Toc2754_3401088015\"><\/a>Significance level (alpha)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-27d15d0 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"27d15d0\" 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 significance level, usually referred to as <strong>alpha (\u03b1) <\/strong>, indicates the probability that a result is falsely considered significant. In equivalence research, an alpha of 0.05 is often specified, which corresponds to a 5% probability of a first type error. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb79d55 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"cb79d55\" 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\"><a id=\"__RefHeading___Toc2756_3401088015\"><\/a>Power (1-Beta)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6cbb8d7 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"6cbb8d7\" 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 power of a study, represented as<strong> 1-\u03b2<\/strong>, indicates how likely it is that the study will detect a true equivalence if it actually exists. A <strong>power of 95%<\/strong> means that the probability of correctly detecting an equivalence is <strong>95%<\/strong>. The remaining<strong> beta (\u03b2) of 5%<\/strong> represents the probability of a second type of error.  <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c4ff208 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"c4ff208\" 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\"><a id=\"__RefHeading___Toc2758_3401088015\"><\/a>Percentage success rate in both groups<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-15315ac elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"15315ac\" 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 success rate, shown here with the symbol \u03c0, indicates the percentage that achieves the desired treatment success in both groups. In many studies, an assumed success rate of 10% is used for both groups. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-02a9ee5 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"02a9ee5\" 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\"><a id=\"__RefHeading___Toc2760_3401088015\"><\/a>Equivalence limit (d)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6043f56 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"6043f56\" 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 equivalence threshold defines the maximum acceptable difference between the success rates of the two groups within which the treatments are considered equivalent. A value of <strong>5% (d = 5)<\/strong> means that a difference of up to <strong>5% <\/strong>is considered clinically irrelevant. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-deea8b7 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"deea8b7\" 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\"><a id=\"__RefHeading___Toc2762_3401088015\"><\/a>Formula for calculation<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7b7bfc0 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"7b7bfc0\" 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 the sample size is based on the following formula:<\/p>\n\n\n\n<div class=\"novu-trial-equation\">\\[n = \\frac{2 \\cdot f(\\alpha, \\beta\/2) \\cdot \\pi \\cdot (100-\\pi)}{d^2}\\]<\/div>\n\n\n<p>Here, <strong>\u03c0<\/strong> represents the success rate in both groups. <strong>f(\u03b1, \u03b2\/2)<\/strong> refers to the Z-scores, which are determined by the significance level and the power. This formula ensures a precise calculation of the sample size in order to obtain meaningful results in an equivalence study. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1c39831 e-con-full novu-r15-faq-row e-flex e-con e-child\" data-id=\"1c39831\" 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-3231b75 e-con-full novu-r15-faq-intro e-flex e-con e-child\" data-id=\"3231b75\" 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-d95f04d elementor-widget elementor-widget-spacer\" data-id=\"d95f04d\" 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-719c46e elementor-widget elementor-widget-image\" data-id=\"719c46e\" 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-84861a0 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"84861a0\" 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-9335e02 elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-heading\" data-id=\"9335e02\" 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-6c8b592 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"6c8b592\" 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-d06751c elementor-hidden-mobile elementor-widget elementor-widget-html\" data-id=\"d06751c\" 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-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>Request a Consultation<\/span>\n    <\/a>\n\n    <div class=\"novu-hero-call-wrap\">\n      <button class=\"novu-hero-btn novu-hero-btn-call\" type=\"button\">\n        <span class=\"novu-hero-icon\" aria-hidden=\"true\">\n          <svg viewBox=\"0 0 24 24\">\n            <path d=\"M22 16.92v3a2 2 0 0 1-2.18 2A19.86 19.86 0 0 1 11.19 19a19.5 19.5 0 0 1-6-6A19.86 19.86 0 0 1 2.08 4.18 2 2 0 0 1 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-7b97bc1 e-con-full e-flex e-con e-child\" data-id=\"7b97bc1\" 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-e95853b elementor-widget elementor-widget-html\" data-id=\"e95853b\" 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 equivalence 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>Such a trial examines whether two treatments can be considered equivalent for a binary outcome within predefined margins.<\/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\">How does an equivalence trial differ from a superiority 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>A superiority trial aims to demonstrate an advantage. An equivalence trial instead examines whether a possible difference is not clinically meaningful.<\/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 determines the required 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>Key factors are the expected success rate, equivalence margin, significance level, and desired statistical power.<\/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\">What does the equivalence 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 maximum permitted difference between success rates for the treatments to still be considered equivalent.<\/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\">What is particularly important when planning?<\/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 binary outcome and equivalence margin must be justified and predefined; sample size and analysis method also require careful planning.<\/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-1fc07d1 elementor-hidden-mobile elementor-widget__width-initial elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"1fc07d1\" 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-5f7ea87 e-con-full e-flex e-con e-child\" data-id=\"5f7ea87\" 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-7743c0c e-con-full e-flex e-con e-child\" data-id=\"7743c0c\" 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-df5611e elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"df5611e\" 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 equivalence trials with binary outcomes accurately.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0b70c92 elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"0b70c92\" 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 study design.<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c0d0cae elementor-widget__width-initial elementor-widget-mobile__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"c0d0cae\" 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 defining robust equivalence margins, planning sample size, preparing the statistical analysis plan, and interpreting binary outcomes soundly.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f31ea1f elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"f31ea1f\" 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 equivalence margins. Secure adequate power. Demonstrate equivalence robustly.<\/div>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c378916 elementor-widget elementor-widget-html\" data-id=\"c378916\" 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=\"&#109;&#x61;i&#x6c;&#x74;&#111;&#x3a;i&#x6e;&#x66;&#111;&#x40;n&#x6f;&#x76;&#117;&#x73;t&#x61;&#x74;&#46;&#x63;o&#x6d;\">\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-937a9af elementor-widget elementor-widget-html\" data-id=\"937a9af\" 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-d1d1f80 novu-gdpr-badge-widget elementor-widget elementor-widget-image\" data-id=\"d1d1f80\" 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 Equivalence Trial is a clinical trial method that aims to prove that two treatment methods are equivalent in terms of a binary outcome. A binary outcome 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 of statistics, from data [&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-19750","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 Equivalence Trial - Statistik Service<\/title>\n<meta name=\"description\" content=\"Binary outcome equivalence trials show whether treatments with binary outcomes are equivalent.\" \/>\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-equivalence-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 Equivalence Trial - Statistik Service\" \/>\n<meta property=\"og:description\" content=\"Binary outcome equivalence trials show whether treatments with binary outcomes are equivalent.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html\" \/>\n<meta property=\"og:site_name\" content=\"Statistik Service\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-28T08:00:25+00:00\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html\",\"url\":\"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html\",\"name\":\"Binary Outcome Equivalence Trial - Statistik Service\",\"isPartOf\":{\"@id\":\"https:\/\/novustat.com\/en#website\"},\"datePublished\":\"2025-02-08T19:19:47+00:00\",\"dateModified\":\"2026-08-28T08:00:25+00:00\",\"description\":\"Binary outcome equivalence trials show whether treatments with binary outcomes are equivalent.\",\"breadcrumb\":{\"@id\":\"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html#breadcrumb\"},\"inLanguage\":\"en\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Startseite\",\"item\":\"https:\/\/novustat.com\/en\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Statistics Glossary\",\"item\":\"https:\/\/novustat.com\/en\/statistik-glossar.html\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Binary Outcome Equivalence Trial\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/novustat.com\/en#website\",\"url\":\"https:\/\/novustat.com\/en\",\"name\":\"Statistik Service\",\"description\":\"NOVUSTAT.COM\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/novustat.com\/en?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Binary Outcome Equivalence Trial - Statistik Service","description":"Binary outcome equivalence trials show whether treatments with binary outcomes are equivalent.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html","og_locale":"en_US","og_type":"article","og_title":"Binary Outcome Equivalence Trial - Statistik Service","og_description":"Binary outcome equivalence trials show whether treatments with binary outcomes are equivalent.","og_url":"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html","og_site_name":"Statistik Service","article_modified_time":"2026-08-28T08:00:25+00:00","twitter_misc":{"Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html","url":"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html","name":"Binary Outcome Equivalence Trial - Statistik Service","isPartOf":{"@id":"https:\/\/novustat.com\/en#website"},"datePublished":"2025-02-08T19:19:47+00:00","dateModified":"2026-08-28T08:00:25+00:00","description":"Binary outcome equivalence trials show whether treatments with binary outcomes are equivalent.","breadcrumb":{"@id":"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html#breadcrumb"},"inLanguage":"en","potentialAction":[{"@type":"ReadAction","target":["https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/novustat.com\/en\/statistics-glossary\/binary-outcome-equivalence-trial.html#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Startseite","item":"https:\/\/novustat.com\/en"},{"@type":"ListItem","position":2,"name":"Statistics Glossary","item":"https:\/\/novustat.com\/en\/statistik-glossar.html"},{"@type":"ListItem","position":3,"name":"Binary Outcome Equivalence Trial"}]},{"@type":"WebSite","@id":"https:\/\/novustat.com\/en#website","url":"https:\/\/novustat.com\/en","name":"Statistik Service","description":"NOVUSTAT.COM","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/novustat.com\/en?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en"}]}},"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"Markus Buchheit","author_link":"https:\/\/novustat.com\/en\/statistik-blog\/author\/markus-buchheit"},"uagb_comment_info":0,"uagb_excerpt":"A Binary Outcome Equivalence Trial is a clinical trial method that aims to prove that two treatment methods are equivalent in terms of a binary outcome. A binary outcome 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 of statistics, from data&hellip;","_links":{"self":[{"href":"https:\/\/novustat.com\/en\/wp-json\/wp\/v2\/pages\/19750","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/novustat.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/novustat.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/novustat.com\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/novustat.com\/en\/wp-json\/wp\/v2\/comments?post=19750"}],"version-history":[{"count":5,"href":"https:\/\/novustat.com\/en\/wp-json\/wp\/v2\/pages\/19750\/revisions"}],"predecessor-version":[{"id":52711,"href":"https:\/\/novustat.com\/en\/wp-json\/wp\/v2\/pages\/19750\/revisions\/52711"}],"up":[{"embeddable":true,"href":"https:\/\/novustat.com\/en\/wp-json\/wp\/v2\/pages\/19740"}],"wp:attachment":[{"href":"https:\/\/novustat.com\/en\/wp-json\/wp\/v2\/media?parent=19750"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}