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dc.date.accessioned2013-03-12T08:18:24Z
dc.date.available2013-03-12T08:18:24Z
dc.date.issued2006en_US
dc.date.submitted2011-07-12en_US
dc.identifier.urihttp://hdl.handle.net/10852/10351
dc.description.abstractWe first point out that variance estimates for regression coefficients in exposure stratified case-cohort studies (Borgan et al., 2000) can easily be obtained from influence terms routinely calculated in standard software for Cox regression. We also place the estimators proposed by Chen (2001) for a general class of cohort sampling designs within the Borgan et al. framework by allowing for post-stratification on outcome. This facilitates simple variance estimation for this class of cohort sampling designs. Finally, we extend the approach of Chen to accommodate stratified designs with surrogate variables available for all cohort members, such as stratified case-cohort and counter-matching designs.eng
dc.language.isoengen_US
dc.publisherMatematisk Institutt, Universitetet i Oslo
dc.relation.ispartofPreprint series. Statistical Research Report http://urn.nb.no/URN:NBN:no-23420en_US
dc.relation.urihttp://urn.nb.no/URN:NBN:no-23420
dc.rights© The Author(s) (2006). This material is protected by copyright law. Without explicit authorisation, reproduction is only allowed in so far as it is permitted by law or by agreement with a collecting society.
dc.titleStratified case-cohort analysis of general cohort sampling designsen_US
dc.typeResearch reporten_US
dc.date.updated2011-07-12en_US
dc.rights.holderCopyright 2006 The Author(s)
dc.creator.authorSamuelsen, Sven Oveen_US
dc.creator.authorÅnestad, Hallvarden_US
dc.creator.authorSkrondal, Andersen_US
dc.subject.nsiVDP::410en_US
dc.identifier.urnURN:NBN:no-28472en_US
dc.type.documentForskningsrapporten_US
dc.identifier.duo132395en_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/10351/1/stat-res-01-06.pdf


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