{"id":142,"date":"2023-04-09T19:24:30","date_gmt":"2023-04-09T19:24:30","guid":{"rendered":"https:\/\/edu.2aegh.org\/?p=142"},"modified":"2023-04-09T19:39:40","modified_gmt":"2023-04-09T19:39:40","slug":"linear-regression-prostate-canser-dataset","status":"publish","type":"post","link":"https:\/\/www.2aegh.ir\/?p=142","title":{"rendered":"Linear regression: Prostate canser dataset"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">In this Persian tutorial, we work on the prostate cancer dataset and run a simple linear regression model on it. The data for this example come from a study by Stamey et al. (1989). They examined the correlation between the level of prostate-specific antigen and a number of clinical measures in men who were about to receive a radical prostatectomy. The variables are log cancer volume (lcavol), log prostate weight (lweight), age, log of the amount of benign prostatic hyperplasia (lbph), seminal vesicle invasion (svi), log of capsular penetration (lcp), Gleason score (Gleason), and percent of Gleason score 4 or 5 (pgg45).  <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This video has been uploaded to both YouTube and Aparat.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/hastie.su.domains\/ElemStatLearn\/\">Reference book:<\/a> The Elements of Statistical Learning: Data Mining, Inference, and Prediction.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Download Dataset:<\/h2>\n\n\n\n<div class=\"wp-block-file aligncenter\"><a id=\"wp-block-file--media-29aa8851-dc92-47ef-bc21-573a384b899f\" href=\"https:\/\/2aegh.ir\/wordpress2\/wp-content\/uploads\/2023\/04\/Prostate.xlsx\"><strong>Data set : Prostate canser<\/strong><\/a><a href=\"https:\/\/2aegh.ir\/wordpress2\/wp-content\/uploads\/2023\/04\/Prostate.xlsx\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-29aa8851-dc92-47ef-bc21-573a384b899f\">Download<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><gwmw style=\"display:none;\"><\/gwmw><\/p>\n\n\n\n<figure class=\"wp-block-embed aligncenter is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-4-3 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Linear Regression (Persian tutorial)\" width=\"500\" height=\"375\" src=\"https:\/\/www.youtube.com\/embed\/LCYqB0eFHtg?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><figcaption class=\"wp-element-caption\"><gwmw style=\"display:none;\"><\/gwmw><\/figcaption><\/figure>\n\n\n\n<iframe id=\"wp-aparat-block-1681069176302\" class=\"wp-block-wp-aparat-aparat-block undefined aparat-frame aparat-full-frame\" src=\"https:\/\/www.aparat.com\/video\/video\/embed\/videohash\/UXcf6\/vt\/frame\" width=\"100%\" allowfullscreen><\/iframe>\n","protected":false},"excerpt":{"rendered":"<p>In this Persian tutorial, we work on the prostate cancer dataset and run a simple linear regression model on it. The data for this example come from a study by Stamey et al. (1989). They examined the correlation between the level of prostate-specific antigen and a number of clinical measures in men who were about [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":145,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[7],"tags":[],"class_list":["post-142","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-persian-tutorial"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.2aegh.ir\/index.php?rest_route=\/wp\/v2\/posts\/142","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.2aegh.ir\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.2aegh.ir\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.2aegh.ir\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.2aegh.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=142"}],"version-history":[{"count":7,"href":"https:\/\/www.2aegh.ir\/index.php?rest_route=\/wp\/v2\/posts\/142\/revisions"}],"predecessor-version":[{"id":176,"href":"https:\/\/www.2aegh.ir\/index.php?rest_route=\/wp\/v2\/posts\/142\/revisions\/176"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.2aegh.ir\/index.php?rest_route=\/wp\/v2\/media\/145"}],"wp:attachment":[{"href":"https:\/\/www.2aegh.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=142"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.2aegh.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=142"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.2aegh.ir\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=142"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}