{"id":1531,"date":"2017-08-14T08:00:55","date_gmt":"2017-08-14T02:00:55","guid":{"rendered":"https:\/\/dev.isrt.ac.bd\/?post_type=tribe_events&p=1531"},"modified":"2017-08-14T08:00:55","modified_gmt":"2017-08-14T02:00:55","slug":"seminar-on-thursday-december-23-2010-3","status":"publish","type":"tribe_events","link":"https:\/\/isrt.ac.bd\/event\/seminar-on-thursday-december-23-2010-3\/","title":{"rendered":"Seminar on Thursday, December 23, 2010"},"content":{"rendered":"

Variable selection technique for AFT models<\/h1>\n
<\/div>\n
\n
December 21, 2010 – 11:19pm<\/em><\/span><\/p>\n\n\n\n\n\n\n\n
Full Title:<\/strong><\/td>\nVariable selection technique for AFT models with regularized weighted least squares when p > n<\/td>\n<\/tr>\n
Speaker:<\/strong><\/td>\nMd Hasinur Rahaman Khan, MSc<\/td>\n<\/tr>\n
<\/td>\nDepartment of Statistics
\nDeltin 7 Aviator গেম টাকা ইনকাম of Warwick
\nCoventry, UK<\/td>\n<\/tr>\n
Date\/Time:<\/strong><\/td>\nThursday, December 23, 2010<\/span>,\u00a01130<\/td>\n<\/tr>\n
Venue:<\/strong><\/td>\nISRT Seminar Room<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

\n
ABSTRACT<\/strong><\/div>\n

Variable selection is fundamental to high-dimensional survival modeling. The regularized least squares method with appropriate penalty is a widely used method for simultaneous variable selection and coefficient estimation in linear regression, including accelerated failure time (AFT) model in survival analysis. I will discuss a variable selection technique which is based on a regularized weighted least squares method. Quadratic programming is used to solve this regularized weighted least squares objective function with\u00a0\"$\u00a0constraints and constraints that come due to the censored observations from the right censored data. This technique can be applied to survival data with\u00a0\"$\u00a0e.g. microarray data set. Simulation studies and real data example will be provided for illustration. In the beginning of this talk I will discuss the censoring effect on the Kaplan-Meier estimates when
\ndata are generated from different skewed failure time distributions.<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Variable selection technique for AFT models December 21, 2010 – 11:19pm Full Title: Variable selection technique for AFT models with regularized weighted least squares when p > n Speaker: Md … [ Read More ]<\/a><\/p>\n","protected":false},"author":5,"featured_media":0,"template":"","meta":{"_acf_changed":false,"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[15],"class_list":["post-1531","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-seminar","cat_seminar"],"acf":[],"yoast_head":"\nSeminar on Thursday, December 23, 2010 - Institute of Statistical Research and Training<\/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:\/\/isrt.ac.bd\/event\/seminar-on-thursday-december-23-2010-3\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Seminar on Thursday, December 23, 2010 - Institute of Statistical Research and Training\" \/>\n<meta property=\"og:description\" content=\"Variable selection technique for AFT models December 21, 2010 – 11:19pm Full Title: Variable selection technique for AFT models with regularized weighted least squares when p > n Speaker: Md ... 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