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Comparing survival functions with interval-censored data in the presence of an intermediate clinical event.
DC Field | Value | Language |
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dc.contributor.author | 남정모 | - |
dc.date.accessioned | 2018-11-16T16:44:39Z | - |
dc.date.available | 2018-11-16T16:44:39Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/165283 | - |
dc.description.abstract | BACKGROUND: In the presence of an intermediate clinical event, the analysis of time-to-event survival data by conventional approaches, such as the log-rank test, can result in biased results due to the length-biased characteristics. METHODS: In the present study, we extend the studies of Finkelstein and Nam & Zelen to propose new methods for handling interval-censored data with an intermediate clinical event using multiple imputation. The proposed methods consider two types of weights in multiple imputation: 1) uniform weight and 2) the weighted weight methods. RESULTS: Extensive simulation studies were performed to compare the proposed tests with existing methods regarding type I error and power. Our simulation results demonstrate that for all scenarios, our proposed methods exhibit a superior performance compared with the stratified log-rank and the log-rank tests. Data from a randomized clinical study to test the efficacy of sorafenib/sunitinib vs. sunitinib/sorafenib to treat metastatic renal cell carcinoma were analyzed under the proposed methods to illustrate their performance on real data. CONCLUSIONS: In the absence of intensive iterations, our proposed methods show a superior performance compared with the stratified log-rank and the log-rank test regarding type I error and power. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.language | English | - |
dc.publisher | BioMed Central | - |
dc.relation.isPartOf | BMC MEDICAL RESEARCH METHODOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | Comparing survival functions with interval-censored data in the presence of an intermediate clinical event. | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Preventive Medicine and Public Health (예방의학교실) | - |
dc.contributor.googleauthor | Sohee Kim | - |
dc.contributor.googleauthor | Jinheum Kim | - |
dc.contributor.googleauthor | Chung Mo Nam | - |
dc.identifier.doi | 10.1186/s12874-018-0558-y | - |
dc.contributor.localId | A01264 | - |
dc.relation.journalcode | J03325 | - |
dc.identifier.eissn | 1471-2288 | - |
dc.identifier.pmid | 30285636 | - |
dc.subject.keyword | Intermediate clinical event | - |
dc.subject.keyword | Interval-censored | - |
dc.subject.keyword | Length-biased | - |
dc.subject.keyword | Multiple imputation | - |
dc.subject.keyword | Time-to-event | - |
dc.contributor.alternativeName | Nam, Jung Mo | - |
dc.contributor.affiliatedAuthor | 남정모 | - |
dc.citation.volume | 18 | - |
dc.citation.startPage | 98 | - |
dc.identifier.bibliographicCitation | BMC MEDICAL RESEARCH METHODOLOGY, Vol.18 : 98, 2018 | - |
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