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 | Source: | 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. | Keywords: | Model-based bootstrap; Shared frailty model; Variance estimation | Document URI: | http://hdl.handle.net/1942/1793 | ISSN: | 0361-0918 | e-ISSN: | 1532-4141 | DOI: | 10.1080/03610910600591586 | ISI #: | 000237274600017 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2007 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Resampling.pdf | Non Peer-reviewed author version | 545.46 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
6
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
9
checked on Apr 24, 2024
Page view(s)
176
checked on Sep 7, 2022
Download(s)
286
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.