www.uhasselt.be
DSpace

Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/1793

Title: Resampling Plans for Frailty Models
Authors: MASSONNET, Goele
BURZYKOWSKI, Tomasz
JANSSEN, Paul
Issue Date: 2006
Publisher: Taylor and Francis
Citation: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 35(2). p. 497-514
Abstract: Obtaining the standard error of the estimated heterogeneity in shared frailty models is in general difficult. Klein and Moeschberger (1997) show that the use of the observed information matrix is often not feasible because of its high dimension. Therneau and Grambsch (2000) use a nonparametric bootstrap algorithm to obtain standard errors for the estimated parameters in a shared frailty model. For parametric shared frailty models we define two model-based resampling schemes and use them to obtain standard errors. Based on a simulation study, we show that model-based resampling compares favorable to nonparametric resampling and that for all resampling schemes robustness is an issue of concern.
URI: http://hdl.handle.net/1942/1793
DOI: 10.1080/03610910600591586
ISI #: 000237274600017
ISSN: 0361-0918
Category: A1
Type: Journal Contribution
Validation: ecoom, 2007
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
Preprint545.46 kBAdobe PDF

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