A local join counts methodology for spatial clustering in disease from relative risk models

dc.contributor.author	Congdon, P	en_US
dc.date.accessioned	2016-05-23T16:06:51Z
dc.date.available	2014-02-06	en_US
dc.date.issued	2016	en_US
dc.date.submitted	2016-05-20T10:49:49.341Z
dc.identifier.issn	0361-0926	en_US
dc.identifier.uri	http://qmro.qmul.ac.uk/xmlui/handle/123456789/12475
dc.format.extent	3059 - 3075	en_US
dc.language.iso	en	en_US
dc.relation.ispartof	COMMUNICATIONS IN STATISTICS-THEORY AND METHODS	en_US
dc.subject	Cluster center	en_US
dc.subject	Exceedance	en_US
dc.subject	Join count	en_US
dc.subject	Local	en_US
dc.subject	Relative risk	en_US
dc.subject	Spatial	en_US
dc.subject	62H11	en_US
dc.subject	91B72	en_US
dc.subject	62F15	en_US
dc.title	A local join counts methodology for spatial clustering in disease from relative risk models	en_US
dc.type	Article
dc.rights.holder	© 2016 Taylor & Francis
dc.identifier.doi	10.1080/03610926.2014.894071	en_US
pubs.author-url	http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000374633100018&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a	en_US
pubs.issue	10	en_US
pubs.notes	Not known	en_US
pubs.publication-status	Published	en_US
pubs.volume	45	en_US