An Empirical Likelihood Method for Semiparametric Linear Regression with Right Censored Data
This paper develops a new empirical likelihood method for semiparametric linear regression with a completely unknown error distribution and right censored survival data. The method is based on the Buckley-James (1979) estimating equation. It inherits some appealing properties of the complete data em...
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| Veröffentlicht in: | Computational and mathematical methods in medicine 2013-01, Vol.2013 (2013), p.1-9 |
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| container_title | Computational and mathematical methods in medicine |
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| creator | Fang, Kai-Tai Li, Gang Lu, Xuyang Qin, Hong |
| description | This paper develops a new empirical likelihood method for semiparametric linear regression with a completely unknown error distribution and right censored survival data. The method is based on the Buckley-James (1979) estimating equation. It inherits some appealing properties of the complete data empirical likelihood method. For example, it does not require variance estimation which is problematic for the Buckley-James estimator. We also extend our method to incorporate auxiliary information. We compare our method with the synthetic data empirical likelihood of Li and Wang (2003) using simulations. We also illustrate our method using Stanford heart transplantation data. |
| doi_str_mv | 10.1155/2013/469373 |
| format | Article |
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The method is based on the Buckley-James (1979) estimating equation. It inherits some appealing properties of the complete data empirical likelihood method. For example, it does not require variance estimation which is problematic for the Buckley-James estimator. We also extend our method to incorporate auxiliary information. We compare our method with the synthetic data empirical likelihood of Li and Wang (2003) using simulations. We also illustrate our method using Stanford heart transplantation data.</description><identifier>ISSN: 1748-670X</identifier><identifier>EISSN: 1748-6718</identifier><identifier>DOI: 10.1155/2013/469373</identifier><identifier>PMID: 23573169</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><subject>Algorithms ; Computer Simulation ; Data Interpretation, Statistical ; Heart Transplantation - methods ; Humans ; Likelihood Functions ; Linear Models ; Models, Statistical ; Monte Carlo Method ; Probability ; Regression Analysis ; Survival Analysis</subject><ispartof>Computational and mathematical methods in medicine, 2013-01, Vol.2013 (2013), p.1-9</ispartof><rights>Copyright © 2013 Kai-Tai Fang et al.</rights><rights>Copyright © 2013 Kai-Tai Fang et al. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-29ee6339caa702893bdf08e1986b5f4671861e6bed7832cf0ebef5d2f3621e053</citedby><cites>FETCH-LOGICAL-c438t-29ee6339caa702893bdf08e1986b5f4671861e6bed7832cf0ebef5d2f3621e053</cites><orcidid>0000-0002-1498-6080</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612471/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612471/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23573169$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Xue, Xiaonan</contributor><creatorcontrib>Fang, Kai-Tai</creatorcontrib><creatorcontrib>Li, Gang</creatorcontrib><creatorcontrib>Lu, Xuyang</creatorcontrib><creatorcontrib>Qin, Hong</creatorcontrib><title>An Empirical Likelihood Method for Semiparametric Linear Regression with Right Censored Data</title><title>Computational and mathematical methods in medicine</title><addtitle>Comput Math Methods Med</addtitle><description>This paper develops a new empirical likelihood method for semiparametric linear regression with a completely unknown error distribution and right censored survival data. 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We also illustrate our method using Stanford heart transplantation data.</description><subject>Algorithms</subject><subject>Computer Simulation</subject><subject>Data Interpretation, Statistical</subject><subject>Heart Transplantation - methods</subject><subject>Humans</subject><subject>Likelihood Functions</subject><subject>Linear Models</subject><subject>Models, Statistical</subject><subject>Monte Carlo Method</subject><subject>Probability</subject><subject>Regression Analysis</subject><subject>Survival Analysis</subject><issn>1748-670X</issn><issn>1748-6718</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><recordid>eNqF0Utr3DAUBWBRUppHu8o6QcuSMh1dyZbsTSBM0gdMKUxb6CIgZPtqrNa2ppInof--GpwM6SqrK9DH0eMQcgrsPUCezzkDMc9kKZR4QY5AZcVMKigO9mv285Acx_iLsRxUDq_IIRe5EiDLI3J7NdCbfuOCq01Hl-43dq71vqFfcGzTsD7Qb9i7jQmmxzGxhAY0ga5wHTBG5wd678aWrty6HekCh-gDNvTajOY1eWlNF_HNwzwhPz7cfF98mi2_fvy8uFrO6kwU44yXiFKIsjZGMV6UomosKxDKQla5zXaPkYCywkYVgteWYYU2b7gVkgOyXJyQyyl3s616bGocxmA6vQmuN-Gv9sbp_3cG1-q1v9NCAs8UpIC3DwHB_9liHHXvYo1dZwb026hBcAkZk4VM9N1E6-BjDGj3xwDTuz70rg899ZH0-dOb7e1jAQlcTKB1Q2Pu3TNpZxPGRNCaPc6UKNPf_ANCf51T</recordid><startdate>20130101</startdate><enddate>20130101</enddate><creator>Fang, Kai-Tai</creator><creator>Li, Gang</creator><creator>Lu, Xuyang</creator><creator>Qin, Hong</creator><general>Hindawi Puplishing Corporation</general><general>Hindawi Publishing Corporation</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1498-6080</orcidid></search><sort><creationdate>20130101</creationdate><title>An Empirical Likelihood Method for Semiparametric Linear Regression with Right Censored Data</title><author>Fang, Kai-Tai ; Li, Gang ; Lu, Xuyang ; Qin, Hong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-29ee6339caa702893bdf08e1986b5f4671861e6bed7832cf0ebef5d2f3621e053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>Computer Simulation</topic><topic>Data Interpretation, Statistical</topic><topic>Heart Transplantation - methods</topic><topic>Humans</topic><topic>Likelihood Functions</topic><topic>Linear Models</topic><topic>Models, Statistical</topic><topic>Monte Carlo Method</topic><topic>Probability</topic><topic>Regression Analysis</topic><topic>Survival Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fang, Kai-Tai</creatorcontrib><creatorcontrib>Li, Gang</creatorcontrib><creatorcontrib>Lu, Xuyang</creatorcontrib><creatorcontrib>Qin, Hong</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Computational and mathematical methods in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fang, Kai-Tai</au><au>Li, Gang</au><au>Lu, Xuyang</au><au>Qin, Hong</au><au>Xue, Xiaonan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Empirical Likelihood Method for Semiparametric Linear Regression with Right Censored Data</atitle><jtitle>Computational and mathematical methods in medicine</jtitle><addtitle>Comput Math Methods Med</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>2013</volume><issue>2013</issue><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>1748-670X</issn><eissn>1748-6718</eissn><abstract>This paper develops a new empirical likelihood method for semiparametric linear regression with a completely unknown error distribution and right censored survival data. The method is based on the Buckley-James (1979) estimating equation. It inherits some appealing properties of the complete data empirical likelihood method. For example, it does not require variance estimation which is problematic for the Buckley-James estimator. We also extend our method to incorporate auxiliary information. We compare our method with the synthetic data empirical likelihood of Li and Wang (2003) using simulations. We also illustrate our method using Stanford heart transplantation data.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Puplishing Corporation</pub><pmid>23573169</pmid><doi>10.1155/2013/469373</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-1498-6080</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; PubMed Central Open Access; Wiley-Blackwell Open Access Titles; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
| subjects | Algorithms Computer Simulation Data Interpretation, Statistical Heart Transplantation - methods Humans Likelihood Functions Linear Models Models, Statistical Monte Carlo Method Probability Regression Analysis Survival Analysis |
| title | An Empirical Likelihood Method for Semiparametric Linear Regression with Right Censored Data |
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