
{"id":5798,"date":"2019-11-04T12:04:52","date_gmt":"2019-11-04T12:04:52","guid":{"rendered":"https:\/\/www.editage.com\/insights\/events\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyses\/"},"modified":"2025-04-05T05:58:22","modified_gmt":"2025-04-05T05:58:22","slug":"know-thy-data-episode-1-understand-univariate-and-bivariate-analyse","status":"publish","type":"events","link":"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse","title":{"rendered":"Know thy data (Episode 1) \u2013 Understand univariate and bivariate analyses"},"content":{"rendered":"<p style=\"margin-bottom: .0001pt; margin: 0in 0in 10pt;\"><span style=\"font-size: 11pt;\"><span style=\"line-height: normal;\"><span style=\"font-family: Calibri,sans-serif;\"><span lang=\"EN-US\" style=\"font-family: 'Segoe UI','sans-serif';\" xml:lang=\"EN-US\">As a researcher, you need to capture and analyze a lot of data. Often, researchers get confused between different methods of data analysis and how they can go about using them. To help you better, we have invited an experienced biostatistician to simplify statistical analysis for you. In a two-part series, Prof. Jo R\u00f8islien, professor of medical statistics at the Faculty of Health Sciences at the University of Stavanger, will take you through some common methods of statistical analysis. <\/span><\/span><\/span><\/span><\/p>\n<p style=\"margin-bottom: .0001pt; margin: 0in 0in 10pt;\"><span style=\"font-size: 11pt;\"><span style=\"line-height: normal;\"><span style=\"font-family: Calibri,sans-serif;\"><span lang=\"EN-US\" style=\"font-family: 'Segoe UI','sans-serif';\" xml:lang=\"EN-US\">Join <b>Episode One<\/b> of this series to know more about univariate and bivariate analysis. In this webinar, Prof. R\u00f8islien will give you an introduction to the (two) types of data \u2013 univariate and bivariate analysis and will explain how you can compare variables and assess the association between two variables. Join this webinar to understand how you can choose the right method for analyzing your data. <u>Topic: Know thy data (Episode 1) \u2013 Understand univariate and bivariate analyses.<\/u><\/span><\/span><\/span><\/span><\/p>\n<p style=\"margin-bottom: .0001pt; margin: 0in 0in 10pt;\"><span style=\"font-size: 11pt;\"><span style=\"line-height: normal;\"><span style=\"font-family: Calibri,sans-serif;\"><b><span lang=\"EN-US\" style=\"font-family: 'Segoe UI','sans-serif';\" xml:lang=\"EN-US\">Date:<\/span><\/b><span lang=\"EN-US\" style=\"font-family: 'Segoe UI','sans-serif';\" xml:lang=\"EN-US\"> November 14, 2019<\/span><\/span><\/span><\/span><\/p>\n<p style=\"margin-bottom: .0001pt; margin: 0in 0in 10pt;\"><span style=\"font-size: 11pt;\"><span style=\"line-height: normal;\"><span style=\"font-family: Calibri,sans-serif;\"><b><span lang=\"EN-US\" style=\"font-family: 'Segoe UI','sans-serif';\" xml:lang=\"EN-US\">Time:<\/span><\/b><span lang=\"EN-US\" style=\"font-family: 'Segoe UI','sans-serif';\" xml:lang=\"EN-US\"> 8:00 AM EST<\/span><\/span><\/span><\/span><\/p>\n<p style=\"margin-bottom: .0001pt; margin: 0in 0in 10pt;\"><span style=\"font-size: 11pt;\"><span style=\"line-height: normal;\"><span style=\"font-family: Calibri,sans-serif;\"><b><span lang=\"EN-US\" style=\"font-family: 'Segoe UI','sans-serif';\" xml:lang=\"EN-US\">Speaker<\/span><\/b><\/span><\/span><\/span><\/p>\n<p style=\"margin-bottom: .0001pt; margin: 0in 0in 10pt;\"><span style=\"font-size: 11pt;\"><span style=\"line-height: normal;\"><span style=\"font-family: Calibri,sans-serif;\"><img decoding=\"async\" style=\"width: 189px; height: 189px;\" src=\"data:image\/jpeg;base64,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\" align=\"left\" hspace=\"12\" \/><b><span lang=\"EN-US\" style=\"font-family: 'Segoe UI','sans-serif';\" xml:lang=\"EN-US\">Professor of medical statistics at the Faculty of Health Sciences at the University of Stavanger (UiS)<\/span><\/b><\/span><\/span><\/span><\/p>\n<p style=\"margin-bottom: .0001pt; margin: 0in 0in 10pt;\"><span style=\"font-size: 11pt;\"><span style=\"line-height: normal;\"><span style=\"font-family: Calibri,sans-serif;\"><span lang=\"EN-US\" style=\"font-family: 'Segoe UI','sans-serif';\" xml:lang=\"EN-US\">Our trainer for this series is <\/span><a style=\"color: blue; text-decoration: underline;\" href=\"https:\/\/www.linkedin.com\/in\/joroislien\/\"><span style=\"font-family: 'Segoe UI','sans-serif';\">Prof. <\/span><span style=\"font-family: 'Segoe UI','sans-serif';\">Jo R\u00f8islien<\/span><\/a><span lang=\"EN-US\" style=\"font-family: 'Segoe UI','sans-serif';\" xml:lang=\"EN-US\">, who is a professor of medical statistics at the Faculty of Health Sciences at the University of Stavanger (UiS), a senior scientist at the Norwegian Air Ambulance Foundation (SNLA), and associate professor II at the Norwegian University of Science and Technology (NTNU). Prof. R\u00f8islien is a renowned research and science communicator. He developed and hosted the popular science show \u201cSiffer\u201d (\u201cDigits\u201d) on NRK, and was the first ever Norwegian to be a host on Discovery Channel. Prof. R\u00f8islien is also one of the experts behind the advanced modules in the\u00a0<\/span><a style=\"color: blue; text-decoration: underline;\" href=\"https:\/\/www.editage.com\/insights\/become-a-great-peer-reviewer-basic-and-advanced\"><span style=\"font-family: 'Segoe UI','sans-serif';\">Editage training course for peer reviewers<\/span><\/a><span lang=\"EN-US\" style=\"font-family: 'Segoe UI','sans-serif';\" xml:lang=\"EN-US\">, where he shares some great tips on reviewing statistics.<\/span><\/span><\/span><\/span><\/p>\n","protected":false},"author":695,"featured_media":33313,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false},"categories":[2420],"event_type":[2358],"new_categories":[],"new_tags":[],"series":[],"class_list":["post-5798","events","type-events","status-publish","has-post-thumbnail","hentry","category-data-analysis","event_type-webinars"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Know thy data (Episode 1) \u2013 Understand univariate and bivariate analyses | Editage Insights<\/title>\n<meta name=\"description\" content=\"As a researcher, you need to capture and analyze a lot of data. Often, researchers get confused between different methods of data analysis and how they can go about using them. To help you better, we have invited an experienced biostatistician to simplify statistical analysis for you. In a two-part series, Prof. Jo R\u00f8islien, professor of medical statistics at the Faculty of Health Sciences at the University of Stavanger, will take you through some common methods of statistical analysis.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Know thy data (Episode 1) \u2013 Understand univariate and bivariate analyses | Editage Insights\" \/>\n<meta property=\"og:description\" content=\"As a researcher, you need to capture and analyze a lot of data. Often, researchers get confused between different methods of data analysis and how they can go about using them. To help you better, we have invited an experienced biostatistician to simplify statistical analysis for you. In a two-part series, Prof. Jo R\u00f8islien, professor of medical statistics at the Faculty of Health Sciences at the University of Stavanger, will take you through some common methods of statistical analysis.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse\" \/>\n<meta property=\"og:site_name\" content=\"Editage Insights\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Editage\" \/>\n<meta property=\"article:modified_time\" content=\"2025-04-05T05:58:22+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2019\/11\/Bistatistics_0.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"656\" \/>\n\t<meta property=\"og:image:height\" content=\"369\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@Editage\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse\",\"url\":\"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse\",\"name\":\"Know thy data (Episode 1) \u2013 Understand univariate and bivariate analyses | Editage Insights\",\"isPartOf\":{\"@id\":\"https:\/\/www.editage.com\/insights\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2025\/02\/editage-insights-generic-banner_298.webp\",\"datePublished\":\"2019-11-04T12:04:52+00:00\",\"dateModified\":\"2025-04-05T05:58:22+00:00\",\"description\":\"As a researcher, you need to capture and analyze a lot of data. Often, researchers get confused between different methods of data analysis and how they can go about using them. To help you better, we have invited an experienced biostatistician to simplify statistical analysis for you. In a two-part series, Prof. Jo R\u00f8islien, professor of medical statistics at the Faculty of Health Sciences at the University of Stavanger, will take you through some common methods of statistical analysis.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse#primaryimage\",\"url\":\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2025\/02\/editage-insights-generic-banner_298.webp\",\"contentUrl\":\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2025\/02\/editage-insights-generic-banner_298.webp\",\"width\":656,\"height\":336},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.editage.com\/insights\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Webinars &amp; Workshops\",\"item\":\"https:\/\/www.editage.com\/insights\/events\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Know thy data (Episode 1) \u2013 Understand univariate and bivariate analyses\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.editage.com\/insights\/#website\",\"url\":\"https:\/\/www.editage.com\/insights\/\",\"name\":\"Editage Insights\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.editage.com\/insights\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.editage.com\/insights\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.editage.com\/insights\/#organization\",\"name\":\"Editage Insights\",\"url\":\"https:\/\/www.editage.com\/insights\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.editage.com\/insights\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/09\/editage-insights-logo-1-scaled.webp\",\"contentUrl\":\"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/09\/editage-insights-logo-1-scaled.webp\",\"width\":2560,\"height\":324,\"caption\":\"Editage Insights\"},\"image\":{\"@id\":\"https:\/\/www.editage.com\/insights\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/Editage\",\"https:\/\/x.com\/Editage\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Know thy data (Episode 1) \u2013 Understand univariate and bivariate analyses | Editage Insights","description":"As a researcher, you need to capture and analyze a lot of data. Often, researchers get confused between different methods of data analysis and how they can go about using them. To help you better, we have invited an experienced biostatistician to simplify statistical analysis for you. In a two-part series, Prof. Jo R\u00f8islien, professor of medical statistics at the Faculty of Health Sciences at the University of Stavanger, will take you through some common methods of statistical analysis.","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:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse","og_locale":"en_US","og_type":"article","og_title":"Know thy data (Episode 1) \u2013 Understand univariate and bivariate analyses | Editage Insights","og_description":"As a researcher, you need to capture and analyze a lot of data. Often, researchers get confused between different methods of data analysis and how they can go about using them. To help you better, we have invited an experienced biostatistician to simplify statistical analysis for you. In a two-part series, Prof. Jo R\u00f8islien, professor of medical statistics at the Faculty of Health Sciences at the University of Stavanger, will take you through some common methods of statistical analysis.","og_url":"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse","og_site_name":"Editage Insights","article_publisher":"https:\/\/www.facebook.com\/Editage","article_modified_time":"2025-04-05T05:58:22+00:00","og_image":[{"width":656,"height":369,"url":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2019\/11\/Bistatistics_0.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_site":"@Editage","twitter_misc":{"Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse","url":"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse","name":"Know thy data (Episode 1) \u2013 Understand univariate and bivariate analyses | Editage Insights","isPartOf":{"@id":"https:\/\/www.editage.com\/insights\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse#primaryimage"},"image":{"@id":"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse#primaryimage"},"thumbnailUrl":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2025\/02\/editage-insights-generic-banner_298.webp","datePublished":"2019-11-04T12:04:52+00:00","dateModified":"2025-04-05T05:58:22+00:00","description":"As a researcher, you need to capture and analyze a lot of data. Often, researchers get confused between different methods of data analysis and how they can go about using them. To help you better, we have invited an experienced biostatistician to simplify statistical analysis for you. In a two-part series, Prof. Jo R\u00f8islien, professor of medical statistics at the Faculty of Health Sciences at the University of Stavanger, will take you through some common methods of statistical analysis.","breadcrumb":{"@id":"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse#primaryimage","url":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2025\/02\/editage-insights-generic-banner_298.webp","contentUrl":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2025\/02\/editage-insights-generic-banner_298.webp","width":656,"height":336},{"@type":"BreadcrumbList","@id":"https:\/\/www.editage.com\/insights\/know-thy-data-episode-1-understand-univariate-and-bivariate-analyse#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.editage.com\/insights\/"},{"@type":"ListItem","position":2,"name":"Webinars &amp; Workshops","item":"https:\/\/www.editage.com\/insights\/events"},{"@type":"ListItem","position":3,"name":"Know thy data (Episode 1) \u2013 Understand univariate and bivariate analyses"}]},{"@type":"WebSite","@id":"https:\/\/www.editage.com\/insights\/#website","url":"https:\/\/www.editage.com\/insights\/","name":"Editage Insights","description":"","publisher":{"@id":"https:\/\/www.editage.com\/insights\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.editage.com\/insights\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.editage.com\/insights\/#organization","name":"Editage Insights","url":"https:\/\/www.editage.com\/insights\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.editage.com\/insights\/#\/schema\/logo\/image\/","url":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/09\/editage-insights-logo-1-scaled.webp","contentUrl":"https:\/\/www.editage.com\/insights\/wp-content\/uploads\/2024\/09\/editage-insights-logo-1-scaled.webp","width":2560,"height":324,"caption":"Editage Insights"},"image":{"@id":"https:\/\/www.editage.com\/insights\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/Editage","https:\/\/x.com\/Editage"]}]}},"_links":{"self":[{"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/events\/5798","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/events"}],"about":[{"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/types\/events"}],"author":[{"embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/users\/695"}],"replies":[{"embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/comments?post=5798"}],"version-history":[{"count":0,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/events\/5798\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/media\/33313"}],"wp:attachment":[{"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/media?parent=5798"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/categories?post=5798"},{"taxonomy":"event_type","embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/event_type?post=5798"},{"taxonomy":"new_categories","embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/new_categories?post=5798"},{"taxonomy":"new_tags","embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/new_tags?post=5798"},{"taxonomy":"series","embeddable":true,"href":"https:\/\/www.editage.com\/insights\/wp-json\/wp\/v2\/series?post=5798"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}