Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCORTINAS ABRAHANTES, Jose-
dc.contributor.authorBURZYKOWSKI, Tomasz-
dc.identifier.citationLecture Notes of the ICB Seminars. p. 15-20-
dc.description.abstractProportional hazard models with multivariate random effects (frailties) acting multiplicatively on the baseline hazard have recently become a topic of an intensive research. One of the main practical problems related to the models is the estimation of parameters. To this aim, several approaches based on the EM algorithm have been proposed. The major difference between these approaches is the method of the computation of conditional expectations required at the E-step. In this paper an alternative implementation of the EM algorithm is proposed, in which the expected values are computed with the use of the Laplace approximation. The method is computationally less demanding than the approaches developed previously. Its performance is assessed based on a simulation study and compared to a non-EM based estimation approach proposed by Ripatti and Palmgren(2000).-
dc.subjectFrailty model-
dc.titleA version of the EM algorithm for proportional hazards models with random effects-
dc.typeJournal Contribution-
item.accessRightsClosed Access-
item.fullcitationCORTINAS ABRAHANTES, Jose & BURZYKOWSKI, Tomasz (2002) A version of the EM algorithm for proportional hazards models with random effects. In: Lecture Notes of the ICB Seminars. p. 15-20.-
item.fulltextNo Fulltext-
Appears in Collections:Research publications
Show simple item record

Page view(s)

checked on Jun 27, 2022

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.