Can we use the approaches of ecological inference to learn about the potential for dependence bias in dualsystem estimation? An application to cancer registration data

Brown, JJ

Beh, EJ Hudson, IL

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Publisher:: MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC
Publication Type:: Conference Proceeding
Citation:: 21st International Congress on Modelling and Simulation, 2015, pp. 1675 - 1681
Issue Date:: 2015-12-04

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Field	Value	Language
dc.contributor.author	Brown, JJ https://orcid.org/0000-0002-7535-2874	en_US
dc.contributor.author	Beh, EJ	en_US
dc.contributor.author	Hudson, IL	en_US
dc.contributor.editor	Weber, T	en_US
dc.contributor.editor	McPhee, MJ	en_US
dc.contributor.editor	Anderssen, RS	en_US
dc.date	2015-11-29	en_US
dc.date.issued	2015-12-04	en_US
dc.identifier.citation	21st International Congress on Modelling and Simulation, 2015, pp. 1675 - 1681	en_US
dc.identifier.isbn	978-0-9872143-5-5	en_US
dc.identifier.uri	http://hdl.handle.net/10453/41369
dc.publisher	MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC	en_US
dc.relation.ispartof	21st International Congress on Modelling and Simulation	en_US
dc.relation.ispartof	International Congress on Modelling and Simulation	en_US
dc.title	Can we use the approaches of ecological inference to learn about the potential for dependence bias in dualsystem estimation? An application to cancer registration data	en_US
dc.type	Conference Proceeding
utslib.location.activity	Gold Coast, Australia	en_US
utslib.for	0104 Statistics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2015-12-04	en_US
pubs.start-date	2015-11-29	en_US

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