Cox regression for interval censored and current status data

Caroni, C

dc.contributor.author	Caroni, C	en
dc.date.accessioned	2014-03-01T02:01:55Z
dc.date.available	2014-03-01T02:01:55Z
dc.date.issued	2011	en
dc.identifier.issn	09731377	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29269
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-79957869851&partnerID=40&md5=1abe144a92e27ebbaeadaf9e442edcde	en
dc.subject	Cox model	en
dc.subject	Current status	en
dc.subject	Interval censoring	en
dc.subject	Lifetime data	en
dc.subject	Software	en
dc.subject.other	Cox model	en
dc.subject.other	Current status	en
dc.subject.other	Interval censoring	en
dc.subject.other	Lifetime data	en
dc.subject.other	Software	en
dc.subject.other	Regression analysis	en
dc.subject.other	Variational techniques	en
dc.title	Cox regression for interval censored and current status data	en
heal.type	journalArticle	en
heal.publicationDate	2011	en
heal.abstract	In many cases, lifetime data are recorded as interval censored or in the form of current status data. It is important to have appropriate methods for analysing such data. This paper reviews the present possibilities for applying Cox's semi-parametric proportional hazards regression model to interval censored or current status data. The use of several R routines is illustrated by analysing a set of medical data in different ways. Further development of computing capabilities is important. © 2011 by IJAMAS, CESER Publications.	en
heal.journalName	International Journal of Applied Mathematics and Statistics	en
dc.identifier.volume	24	en
dc.identifier.issue	SUPPL. I-11A	en
dc.identifier.spage	125	en
dc.identifier.epage	132	en