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dc.contributor.authorShen, Hua
dc.contributor.authorCook, Richard J.
dc.date.accessioned2016-03-01 18:50:59 (GMT)
dc.date.available2016-03-01 18:50:59 (GMT)
dc.date.issued2013
dc.identifier.urihttp://dx.doi.org/10.1002/sim.5581
dc.identifier.urihttp://hdl.handle.net/10012/10293
dc.descriptionThis is the peer reviewed version of the following article: Shen, Hua, and Richard J. Cook. "Regression with incomplete covariates and left‐truncated time‐to‐event data." Statistics in Medicine 32.6 (2013): 1004-1015, which has been published in final form at http://dx.doi.org/10.1002/sim.5581. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.en
dc.description.abstractStudies of chronic diseases routinely sample individuals subject to conditions on an event time of interest. In epidemiology, for example, prevalent cohort studies aiming to evaluate risk factors for survival following onset of dementia require subjects to have survived to the point of screening. In clinical trials designed to assess the effect of experimental cancer treatments on survival, patients are required to survive from the time of cancer diagnosis to recruitment. Such conditions yield samples featuring left-truncated event time distributions. Incomplete covariate data often arise in such settings, but standard methods do not deal with the fact that individuals’ covariate distributions are also affected by left truncation. We describe an expectation-maximization algorithm for dealing with incomplete covariate data in such settings, which uses the covariate distribution conditional on the selection criterion. We describe an extension to deal with subgroup analyses in clinical trials for the case in which the stratification variable is incompletely observed.en
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (RGPIN 155849); Canadian Institutes for Health Research (FRN 13887); Canada Research Chair (Tier 1) – CIHR funded (950-226626)en
dc.language.isoenen
dc.publisherWileyen
dc.relation.ispartofseriesStatistics in Medicine;32(6)en
dc.subjectleft-truncationen
dc.subjectsubgroup analysisen
dc.subjectsurvival analysisen
dc.subjectincomplete covariatesen
dc.titleRegression with incomplete covariates and left-truncated time-to-event dataen
dc.typeArticleen
dcterms.bibliographicCitationShen, Hua, and Richard J. Cook. "Regression with incomplete covariates and left‐truncated time‐to‐event data." Statistics in Medicine 32.6 (2013): 1004-1015.en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Statistics and Actuarial Scienceen
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen


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