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The analysis of tumorigenicity data using a frailty effect
DC Field | Value | Language |
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dc.contributor.author | 김윤남 | - |
dc.contributor.author | 남정모 | - |
dc.contributor.author | 최은희 | - |
dc.date.accessioned | 2014-12-20T17:08:10Z | - |
dc.date.available | 2014-12-20T17:08:10Z | - |
dc.date.issued | 2011 | - |
dc.identifier.issn | 1226-3192 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/94029 | - |
dc.description.abstract | In animal tumorigenicity data, the time of occurrence of the tumor is not observed because the existence of the tumor is looked for only at either the time of death or the time of sacrifice of the animal. Such an incomplete data structure makes it difficult to investigate the impact of treatment on the occurrence of tumors. A three-state model (no tumor–tumor–death) is used to model events that occurred sequentially and to connect them. In this paper, we also employed a frailty effect to model the dependency of death on tumor occurrence. For the inference of parameters, an EM algorithm is considered. The method is applied to a real bladder tumor data set and a simulation study is performed to show the behavior of the proposed estimators | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 281~290 | - |
dc.relation.isPartOf | JOURNAL OF THE KOREAN STATISTICAL SOCIETY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | The analysis of tumorigenicity data using a frailty effect | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Biostatistics (의학통계학) | - |
dc.contributor.googleauthor | Yang-Jin Kim | - |
dc.contributor.googleauthor | Chung Mo Nam | - |
dc.contributor.googleauthor | Youn Nam Kim | - |
dc.contributor.googleauthor | Eun Hee Choi | - |
dc.contributor.googleauthor | Jinheum Kim | - |
dc.identifier.doi | 10.1016/j.jkss.2010.20.007 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A01264 | - |
dc.contributor.localId | A04163 | - |
dc.contributor.localId | A04535 | - |
dc.relation.journalcode | J03184 | - |
dc.identifier.url | http://www.sciencedirect.com/science/article/pii/S1226319210000980 | - |
dc.subject.keyword | Current status data | - |
dc.subject.keyword | Frailty effect | - |
dc.subject.keyword | EM algorithm | - |
dc.subject.keyword | Three-state model | - |
dc.subject.keyword | Tumorigenicity | - |
dc.contributor.alternativeName | Kim, Youn Nam | - |
dc.contributor.alternativeName | Nam, Jung Mo | - |
dc.contributor.alternativeName | Choi, Eun Hee | - |
dc.contributor.affiliatedAuthor | Nam, Jung Mo | - |
dc.contributor.affiliatedAuthor | Choi, Eun Hee | - |
dc.contributor.affiliatedAuthor | Kim, Youn Nam | - |
dc.rights.accessRights | not free | - |
dc.citation.volume | 40 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 281 | - |
dc.citation.endPage | 290 | - |
dc.identifier.bibliographicCitation | JOURNAL OF THE KOREAN STATISTICAL SOCIETY, Vol.40(3) : 281-290, 2011 | - |
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