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dc.contributor.authorLawless, Jerald F.
dc.date.accessioned2016-10-24 15:57:12 (GMT)
dc.date.available2016-10-24 15:57:12 (GMT)
dc.date.issued2013
dc.identifier.urihttp://dx.doi.org/10.1007/s10985-012-9241-5
dc.identifier.urihttp://hdl.handle.net/10012/11012
dc.descriptionThe final publication: ``Hajducek, D.M. and Lawless, J.F. (2013). Estimation of finite population duration distributions from longitudinal survey panels with intermittent followup. Lifetime Data Analysis, 19 (3), 371--392" is available at Springer via http://link.springer.com/article/10.1007/s10985-012-9241-5 DOI: 10.1007/s10985-012-9241-5en
dc.description.abstractWe consider survival or duration times associated with spells (sojourns in some state) or events experienced by individuals in a population over a specified time period. Duration distributions can be estimated from data recorded during followup of panel members in longitudinal surveys, but adjustments for the sample design, population structure and losses to followup are typically required. We provided weighted Kaplan-Meier estimates that allow for these features and, in particular, adjust for dependent loss to followup through the use of inverse probability of censoring weights.en
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada || (JFL RGPIN 8597)en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesLifetime Data Analysis;19 (3)en
dc.subjectDropouten
dc.subjectInverse probability weightsen
dc.subjectLoss to followupen
dc.subjectSpell durationsen
dc.subjectSurvival distributionsen
dc.subjectWeighted Kaplan-Meier estimatesen
dc.titleEstimation of Finite Population Duration Distributions from Longitudinal Survey Panels with Intermittent Followupen
dc.title.alternativeEstimation of Finite Population Duration Distributionsen
dc.typeArticleen
dcterms.bibliographicCitationHajducek, Dagmar M., and J. F. Lawless. "Estimation of finite population duration distributions from longitudinal survey panels with intermittent followup." Lifetime data analysis 19.3 (2013): 371-392.en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Statistics and Actuarial Scienceen
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen


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