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Article: Survival analysis with change-points in covariate effects

TitleSurvival analysis with change-points in covariate effects
Authors
KeywordsClinical trials
change-points
right-censored data
likelihood ratio tests
sequential analysis
Issue Date2020
PublisherSage Publications Ltd. The Journal's web site is located at http://smm.sagepub.com
Citation
Statistical Methods in Medical Research, 2020, v. 29 n. 11, p. 3235-3248 How to Cite?
AbstractWe apply a maximal likelihood ratio test for the presence of multiple change-points in the covariate effects based on the Cox regression model. The covariate effect is assumed to change smoothly at one or more unknown change-points. The number of change-points is inferred by a sequential approach. Confidence intervals for the regression and changepoint parameters are constructed by a bootstrap method based on Bernstein polynomials conditionally on the number of change-points. The methods are assessed by simulations and are applied to two datasets.
Persistent Identifierhttp://hdl.handle.net/10722/288160
ISSN
2023 Impact Factor: 1.6
2023 SCImago Journal Rankings: 1.235
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLEE, CY-
dc.contributor.authorLam, KF-
dc.date.accessioned2020-10-05T12:08:45Z-
dc.date.available2020-10-05T12:08:45Z-
dc.date.issued2020-
dc.identifier.citationStatistical Methods in Medical Research, 2020, v. 29 n. 11, p. 3235-3248-
dc.identifier.issn0962-2802-
dc.identifier.urihttp://hdl.handle.net/10722/288160-
dc.description.abstractWe apply a maximal likelihood ratio test for the presence of multiple change-points in the covariate effects based on the Cox regression model. The covariate effect is assumed to change smoothly at one or more unknown change-points. The number of change-points is inferred by a sequential approach. Confidence intervals for the regression and changepoint parameters are constructed by a bootstrap method based on Bernstein polynomials conditionally on the number of change-points. The methods are assessed by simulations and are applied to two datasets.-
dc.languageeng-
dc.publisherSage Publications Ltd. The Journal's web site is located at http://smm.sagepub.com-
dc.relation.ispartofStatistical Methods in Medical Research-
dc.rightsAuthor(s), Contribution Title, Journal Title (Journal Volume Number and Issue Number) pp. xx-xx. Copyright © [year] (Copyright Holder). DOI: [DOI number].-
dc.subjectClinical trials-
dc.subjectchange-points-
dc.subjectright-censored data-
dc.subjectlikelihood ratio tests-
dc.subjectsequential analysis-
dc.titleSurvival analysis with change-points in covariate effects-
dc.typeArticle-
dc.identifier.emailLam, KF: hrntlkf@hkucc.hku.hk-
dc.identifier.authorityLam, KF=rp00718-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1177/0962280220922258-
dc.identifier.pmid32394808-
dc.identifier.scopuseid_2-s2.0-85084862146-
dc.identifier.hkuros314785-
dc.identifier.volume29-
dc.identifier.issue11-
dc.identifier.spage3235-
dc.identifier.epage3248-
dc.identifier.eissn1477-0334-
dc.identifier.isiWOS:000533974800001-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0962-2802-

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