Please use this identifier to cite or link to this item:
https://hdl.handle.net/1822/25803
Title: | Presmoothing the Aalen-Johansen estimator in the illness-death model |
Author(s): | Moreira, Ana Uña-Álvarez, Jacobo de Machado, Luís Meira |
Keywords: | Aalen-Johansen Kaplan-Meier Markov condition Multi-state models Semiparametric censorship |
Issue date: | 22-May-2013 |
Publisher: | Institute of Mathematical Statistics (IMS) |
Journal: | Electronic Journal of Statistics |
Abstract(s): | One major goal in clinical applications of multi-state models is the estimation of transition probabilities. The usual nonparametric estimator of the transition matrix for non-homogeneous Markov processes is the Aalen-Johansen estimator (Aalen and Johansen 1978 [1]). In this paper we propose a modification of the Aalen-Johansen estimator in the illness-death model based on presmoothing. The consistency of the proposed estimators is formally established. Simulations show that the presmoothed estimators may be much more efficient than the Aalen-Johansen estimator. A real data illustration is included. |
Type: | Article |
URI: | https://hdl.handle.net/1822/25803 |
DOI: | 10.1214/13-ejs816 |
ISSN: | 1935-7524 |
Publisher version: | http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ejs/1369148601 |
Peer-Reviewed: | yes |
Access: | Restricted access (UMinho) |
Appears in Collections: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals |
Files in This Item:
File | Description | Size | Format | |
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euclid.ejs.1369148601.pdf Restricted access | Full paper | 458,13 kB | Adobe PDF | View/Open |