Parametric proportional odds frailty models

Economou, P; Caroni, C

dc.contributor.author	Economou, P	en
dc.contributor.author	Caroni, C	en
dc.date.accessioned	2014-03-01T01:26:52Z
dc.date.available	2014-03-01T01:26:52Z
dc.date.issued	2007	en
dc.identifier.issn	0361-0918	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18265
dc.subject	Bootstrap	en
dc.subject	Frailty	en
dc.subject	Least squares	en
dc.subject	Lifetime data	en
dc.subject	Log-logistic	en
dc.subject	Proportional odds	en
dc.subject.classification	Statistics & Probability	en
dc.subject.other	MAXIMUM-LIKELIHOOD-ESTIMATION	en
dc.subject.other	STABILIZED PROBABILITY PLOT	en
dc.subject.other	SURVIVAL-DATA	en
dc.subject.other	CENSORED-DATA	en
dc.subject.other	DISTRIBUTIONS	en
dc.subject.other	BOOTSTRAP	en
dc.subject.other	HETEROGENEITY	en
dc.subject.other	WEIBULL	en
dc.subject.other	FAMILY	en
dc.subject.other	TESTS	en
dc.title	Parametric proportional odds frailty models	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/03610910701569143	en
heal.identifier.secondary	http://dx.doi.org/10.1080/03610910701569143	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	We define a parametric proportional odds frailty model to describe lifetime data incorporating heterogeneity between individuals. An unobserved individual random effect, called frailty, acts multiplicatively on the odds of failure by time t. We investigate fitting by maximum likelihood and by least squares. For the latter, the parametric survivor function is fitted to the nonparametric Kaplan-Meier estimate at the observed failure times. Bootstrap standard errors and confidence intervals are obtained for the least squares estimates. The models are applied successfully to simulated data and to two real data sets. Least squares estimates appear to have smaller bias than maximum likelihood.	en
heal.publisher	TAYLOR & FRANCIS INC	en
heal.journalName	Communications in Statistics: Simulation and Computation	en
dc.identifier.doi	10.1080/03610910701569143	en
dc.identifier.isi	ISI:000251715100012	en
dc.identifier.volume	36	en
dc.identifier.issue	6	en
dc.identifier.spage	1295	en
dc.identifier.epage	1307	en