Weighted least-squares regression with competing risks data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Sangbum | - |
dc.contributor.author | Choi, Taehwa | - |
dc.contributor.author | Cho, Hyunsoon | - |
dc.contributor.author | Bandyopadhyay, Dipankar | - |
dc.date.accessioned | 2022-02-10T18:41:21Z | - |
dc.date.available | 2022-02-10T18:41:21Z | - |
dc.date.created | 2022-02-08 | - |
dc.date.issued | 2022-01-30 | - |
dc.identifier.issn | 0277-6715 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/135249 | - |
dc.description.abstract | The semiparametric accelerated failure time (AFT) model linearly relates the logarithm of the failure time to a set of covariates, while leaving the error distribution unspecified. This model has been widely investigated in survival literature due to its simple interpretation and relationship with linear models. However, there has been much less focus on developing AFT-type linear regression methods for analyzing competing risks data, in which patients can potentially experience one of multiple failure causes. In this article, we propose a simple least-squares (LS) linear regression model for a cause-specific subdistribution function, where the conventional LS equation is modified to account for data incompleteness under competing risks. The proposed estimators are shown to be consistent and asymptotically normal with consistent estimation of the variance-covariance matrix. We further extend the proposed methodology to risk prediction and analysis under clustered competing risks scenario. Simulation studies suggest that the proposed method provides rapid and valid statistical inferences and predictions. Application of our method to two oncology datasets demonstrate its utility in routine clinical data analysis. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.subject | FAILURE TIME MODELS | - |
dc.subject | CUMULATIVE INCIDENCE | - |
dc.subject | CLUSTER | - |
dc.subject | HAZARDS | - |
dc.subject | SAMPLE | - |
dc.title | Weighted least-squares regression with competing risks data | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Choi, Sangbum | - |
dc.identifier.doi | 10.1002/sim.9232 | - |
dc.identifier.scopusid | 2-s2.0-85117684552 | - |
dc.identifier.wosid | 000710105900001 | - |
dc.identifier.bibliographicCitation | STATISTICS IN MEDICINE, v.41, no.2, pp.227 - 241 | - |
dc.relation.isPartOf | STATISTICS IN MEDICINE | - |
dc.citation.title | STATISTICS IN MEDICINE | - |
dc.citation.volume | 41 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 227 | - |
dc.citation.endPage | 241 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
dc.relation.journalResearchArea | Public, Environmental & Occupational Health | - |
dc.relation.journalResearchArea | Medical Informatics | - |
dc.relation.journalResearchArea | Research & Experimental Medicine | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
dc.relation.journalWebOfScienceCategory | Public, Environmental & Occupational Health | - |
dc.relation.journalWebOfScienceCategory | Medical Informatics | - |
dc.relation.journalWebOfScienceCategory | Medicine, Research & Experimental | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | FAILURE TIME MODELS | - |
dc.subject.keywordPlus | CUMULATIVE INCIDENCE | - |
dc.subject.keywordPlus | CLUSTER | - |
dc.subject.keywordPlus | HAZARDS | - |
dc.subject.keywordPlus | SAMPLE | - |
dc.subject.keywordAuthor | accelerated lifetime | - |
dc.subject.keywordAuthor | clustered data | - |
dc.subject.keywordAuthor | informative censoring | - |
dc.subject.keywordAuthor | inverse probability weighting | - |
dc.subject.keywordAuthor | subdistribution hazard | - |
dc.subject.keywordAuthor | survival analysis | - |
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