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Independence conditions and the analysis of life history studies with intermittent observation

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dc.contributor.authorCook, Richard
dc.contributor.authorLawless, Jerald
dc.date.accessioned2022-08-08T14:03:06Z
dc.date.available2022-08-08T14:03:06Z
dc.date.issued2021-07
dc.descriptionThis is a pre-copyedited, author-produced PDF of an article accepted for publication in Biostatistics following peer review. The version records “Cook RJ and Lawless JF (2021), Independence conditions and the analysis of life history studies with intermittent observation, Biostatistics, 22 (3): 455-481”. DOI: 10.1093/biostatistics/kxz047 is available online at: https://doi.org/10.1093/biostatistics/kxz047.en
dc.description.abstractMultistate models provide a powerful framework for the analysis of life history processes when the goal is to characterize transition intensities, transition probabilities, state occupancy probabilities, and covariate effects thereon. Data on such processes are often only available at random visit times occurring over a finite period.We formulate a joint multistate model for the life history process, the recurrent visit process, and a random loss to follow-up time at which the visit process terminates. This joint model is helpful when discussing the independence conditions necessary to justify the use of standard likelihoods involving the life history model alone and provides a basis for analyses that accommodate dependence. We consider settings with disease-driven visits and routinely scheduled visits and develop likelihoods that accommodate partial information on the types of visits. Simulation studies suggest that suitably constructed joint models can yield consistent estimates of parameters of interest even under dependent visit processes, providing the models are correctly specified; identifiability and estimability issues are also discussed. An application is given to a cohort of individuals attending a rheumatology clinic where interest lies in progression of joint damage.en
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada, RGPIN 155849 and RGPIN 04207 (to RJC) || Natural Sciences and Engineering Research Council of Canada, RGPIN 8597 (to JFL) || Canadian Institutes of Health Research, FRN 13887 (to RJC)en
dc.identifier.urihttps://doi.org/10.1093/biostatistics/kxz047
dc.identifier.urihttp://hdl.handle.net/10012/18489
dc.language.isoenen
dc.publisherOxford University Pressen
dc.subjectJoint model, loss to follow-up, Markov process, multistate model, visit processen
dc.titleIndependence conditions and the analysis of life history studies with intermittent observationen
dc.typeArticleen
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Statistics and Actuarial Scienceen
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.typeOfResourceTexten

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