Cox regression models with nonproportional hazards applied to lung cancer survival data
The Cox regression model, which is widely used for the analysis of treatment and prognostic effects with censored survival data, makes the assumption of constant hazard ratio. In the violation of this assumption, different methods should be used to deal with non-proportionality of hazards. In this s...
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| Veröffentlicht in: | Hacettepe Journal of Mathematics and Statistics 2007, Vol.36 (2), p.157-167 |
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| container_title | Hacettepe Journal of Mathematics and Statistics |
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| creator | ATA, Nihal SÖZER, M. Tekin |
| description | The Cox regression model, which is widely used for the analysis of treatment and prognostic effects with censored survival data, makes the assumption of constant hazard ratio. In the violation of this assumption,
different methods should be used to deal with non-proportionality of
hazards. In this study, the stratified Cox regression model and extended
Cox regression model, which uses time dependent covariate terms with
fixed functions of time are discussed. The results are illustrated by an
analysis of lung cancer data in order to compare these methods with
respect to Cox regression model in the presence of nonproportional
hazards. |
| format | Article |
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different methods should be used to deal with non-proportionality of
hazards. In this study, the stratified Cox regression model and extended
Cox regression model, which uses time dependent covariate terms with
fixed functions of time are discussed. The results are illustrated by an
analysis of lung cancer data in order to compare these methods with
respect to Cox regression model in the presence of nonproportional
hazards.</description><identifier>ISSN: 1303-5010</identifier><language>eng</language><publisher>Hacettepe Üniversitesi</publisher><subject>Akciğer kanseri ; COX I ; Lung cancer ; Matematik ; Mathematics ; regression model ; Regresyon modeli ; time dependence ; Zamana bağlılık</subject><ispartof>Hacettepe Journal of Mathematics and Statistics, 2007, Vol.36 (2), p.157-167</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,4024</link.rule.ids></links><search><creatorcontrib>ATA, Nihal</creatorcontrib><creatorcontrib>SÖZER, M. Tekin</creatorcontrib><title>Cox regression models with nonproportional hazards applied to lung cancer survival data</title><title>Hacettepe Journal of Mathematics and Statistics</title><description>The Cox regression model, which is widely used for the analysis of treatment and prognostic effects with censored survival data, makes the assumption of constant hazard ratio. In the violation of this assumption,
different methods should be used to deal with non-proportionality of
hazards. In this study, the stratified Cox regression model and extended
Cox regression model, which uses time dependent covariate terms with
fixed functions of time are discussed. The results are illustrated by an
analysis of lung cancer data in order to compare these methods with
respect to Cox regression model in the presence of nonproportional
hazards.</description><subject>Akciğer kanseri</subject><subject>COX I</subject><subject>Lung cancer</subject><subject>Matematik</subject><subject>Mathematics</subject><subject>regression model</subject><subject>Regresyon modeli</subject><subject>time dependence</subject><subject>Zamana bağlılık</subject><issn>1303-5010</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqFyr0OgjAUQOEOmkiUN3C4L0DSiqQ4E40PYOJoLlChsbTNbcGfp5fB3ekM31mwROQ8zwou-IqlIeiaC5mXe7krEnat3AtIdaRmcBYG1yoT4KljD9ZZT847irOggR4_SG0A9N5o1UJ0YEbbQYO2UQRhpElP89dixA1b3tEElf66ZtvT8VKds9Hgo9bDzZMekN63UhykzP_wF3JtPrI</recordid><startdate>2007</startdate><enddate>2007</enddate><creator>ATA, Nihal</creator><creator>SÖZER, M. Tekin</creator><general>Hacettepe Üniversitesi</general><scope>GIY</scope><scope>GIZ</scope><scope>GJA</scope><scope>GJB</scope></search><sort><creationdate>2007</creationdate><title>Cox regression models with nonproportional hazards applied to lung cancer survival data</title><author>ATA, Nihal ; SÖZER, M. Tekin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ulakbim_primary_819773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Akciğer kanseri</topic><topic>COX I</topic><topic>Lung cancer</topic><topic>Matematik</topic><topic>Mathematics</topic><topic>regression model</topic><topic>Regresyon modeli</topic><topic>time dependence</topic><topic>Zamana bağlılık</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ATA, Nihal</creatorcontrib><creatorcontrib>SÖZER, M. Tekin</creatorcontrib><collection>ULAKBIM - Mühendislik ve Temel Bilimler Veri Tabani</collection><collection>ULAKBIM - Yaşam Bilimleri Veri Tabani</collection><collection>ULAKBIM - Turk Sosyal Bilimler Veri Tabani</collection><collection>ULAKBIM - Türk Tıp Veri Tabani</collection><jtitle>Hacettepe Journal of Mathematics and Statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>ATA, Nihal</au><au>SÖZER, M. Tekin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cox regression models with nonproportional hazards applied to lung cancer survival data</atitle><jtitle>Hacettepe Journal of Mathematics and Statistics</jtitle><date>2007</date><risdate>2007</risdate><volume>36</volume><issue>2</issue><spage>157</spage><epage>167</epage><pages>157-167</pages><issn>1303-5010</issn><abstract>The Cox regression model, which is widely used for the analysis of treatment and prognostic effects with censored survival data, makes the assumption of constant hazard ratio. In the violation of this assumption,
different methods should be used to deal with non-proportionality of
hazards. In this study, the stratified Cox regression model and extended
Cox regression model, which uses time dependent covariate terms with
fixed functions of time are discussed. The results are illustrated by an
analysis of lung cancer data in order to compare these methods with
respect to Cox regression model in the presence of nonproportional
hazards.</abstract><pub>Hacettepe Üniversitesi</pub><oa>free_for_read</oa></addata></record> |
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| ispartof | Hacettepe Journal of Mathematics and Statistics, 2007, Vol.36 (2), p.157-167 |
| issn | 1303-5010 |
| language | eng |
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| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Akciğer kanseri COX I Lung cancer Matematik Mathematics regression model Regresyon modeli time dependence Zamana bağlılık |
| title | Cox regression models with nonproportional hazards applied to lung cancer survival data |
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