Fitting binary regression models with case-augmented samples

Lee, Alan; Scott, Alastair; Wild, Christopher

dc.contributor.author	Lee, Alan	en
dc.contributor.author	Scott, Alastair	en
dc.contributor.author	Wild, Christopher	en
dc.date.accessioned	2011-11-17T17:33:57Z	en
dc.date.issued	2006	en
dc.identifier.citation	Biometrika 93(2):385-397 2006	en
dc.identifier.issn	0006-3444	en
dc.identifier.uri	http://hdl.handle.net/2292/9300	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 http://www.sherpa.ac.uk/romeo/issn/0006-3444/	en
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm	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	http://purl.org/eprint/accessRights/RestrictedAccess	en
pubs.subtype	Article	en
pubs.elements-id	90819	en
pubs.org-id	Science	en
pubs.org-id	Statistics	en
pubs.record-created-at-source-date	2010-09-01	en