{"id":6633,"date":"2022-09-20T15:51:17","date_gmt":"2022-09-20T06:51:17","guid":{"rendered":"https:\/\/www.ibs.re.kr\/bimag\/?post_type=tribe_events&#038;p=6633"},"modified":"2022-09-20T17:09:42","modified_gmt":"2022-09-20T08:09:42","slug":"2022-09-27-seminar","status":"publish","type":"tribe_events","link":"https:\/\/www.ibs.re.kr\/bimag\/event\/2022-09-27-seminar\/","title":{"rendered":"Causal Inference \u2013 basics and examples"},"content":{"rendered":"<p>Abstract:<\/p>\n<p>In real world, people are interested in causality rather than association. For example, pharmaceutical companies want to know effectiveness of their new drugs against diseases. South Korea Government officials are concerned about the effects of recent regulation with respect to an electric car subsidy from United States. Due to this reason, causal inference has been received much attention in decades and it is now a big research field in statistics. In this seminar, I will talk about basic idea and theory in the causal inference. Real data examples will be discussed.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract: In real world, people are interested in causality rather than association. For example, pharmaceutical companies want to know effectiveness of their new drugs against diseases. South Korea Government officials &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.ibs.re.kr\/bimag\/event\/2022-09-27-seminar\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Causal Inference \u2013 basics and examples&#8221;<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"template":"","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","_uag_custom_page_level_css":"","_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[220],"class_list":["post-6633","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-biomedical-mathematics-seminar","cat_biomedical-mathematics-seminar"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Causal Inference \u2013 basics and examples - Biomedical Mathematics Group<\/title>\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.ibs.re.kr\/bimag\/event\/2022-09-27-seminar\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Causal Inference \u2013 basics and examples - Biomedical Mathematics Group\" \/>\n<meta property=\"og:description\" content=\"Abstract: In real world, people are interested in causality rather than association. 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