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dc.contributor.authorLawless, Jerald F. 13:43:01 (GMT) 13:43:01 (GMT)
dc.identifier.uriDOI: 10.1093/biomet/asv038
dc.descriptionThis is a pre-copyedited, author-produced PDF of an article accepted for publication in Biometrika following peer review. The version of record ``Derkach, A., Lawless, J.F. and Sun, L. (2015). Score tests for association under response-dependent sampling designs for expensive covariates. Biometrika, 102 (4), 988--994"is available online at:}{DOI: 10.1093/biomet/asv038.en
dc.description.abstractResponse-dependent sampling is widely used in settings where certain variables are expensive to obtain. Estimation has been thoroughly investigated but recent applications have emphasized tests of association for expensive covariates and a response variable. We consider testing and provide easily implemented likelihood score tests for generalized linear models under a broad range of sampling plans. We show that when there are no additional covariates, the score statistics are identical for conditional and full likelihood approaches, and are of the same form as for ordinary random sampling. Applications in genetics are discussed briefly.en
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada || (JFL RGPIN 8597) Canadian Institutes of Health Research Strategic Training for Advanced Genetic Epidemiology fellowship (Lei Sun)en
dc.publisherOxford Journalsen
dc.relation.ispartofseriesBiometrika;102 (4)en
dc.subjectGeneralized linear modelen
dc.subjectGenetic association studyen
dc.subjectIncomplete dataen
dc.subjectMaximum likelihood estimationen
dc.subjectTests of independenceen
dc.subjectTwo-phase sampleen
dc.titleScore Tests for Association Under Response-dependent Sampling Designs for Expensive Covariatesen
dcterms.bibliographicCitationDerkach, Andriy, Jerald F. Lawless, and Lei Sun. "Score tests for association under response-dependent sampling designs for expensive covariates." Biometrika (2015): asv038.en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Statistics and Actuarial Scienceen

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