Fitting binary regression models with case-augmented samples

Show simple item record Lee, Alan en Scott, Alastair en Wild, Christopher en 2011-11-17T17:33:57Z en 2006 en
dc.identifier.citation Biometrika 93(2):385-397 2006 en
dc.identifier.issn 0006-3444 en
dc.identifier.uri en
dc.description.abstract In a case-augmented study, measurements on a random sample from a population are augmented by information from an independent sample of cases, that is units with some characteristic of interest. We show that inferences about the effect of the covariates on the probability of being a case can be made by fitting a modified prospective likelihood. We also show that this procedure is fully efficient. en
dc.language EN en
dc.publisher Biometrika Trust en
dc.relation.ispartofseries Biometrika en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from en
dc.rights.uri en
dc.subject case-augmented sampling en
dc.subject estimating equation en
dc.subject response-selective sampling en
dc.subject semiparametric efficiency en
dc.subject DESIGN en
dc.title Fitting binary regression models with case-augmented samples en
dc.type Journal Article en
dc.identifier.doi 10.1093/biomet/93.2.385 en
pubs.issue 2 en
pubs.begin-page 385 en
pubs.volume 93 en
dc.rights.holder Copyright: Biometrika Trust en
pubs.end-page 397 en
dc.rights.accessrights en
pubs.subtype Article en
pubs.elements-id 90819 en Science en Statistics en
pubs.record-created-at-source-date 2010-09-01 en

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