Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/43600

TitleSmoothed landmark estimators of the transition probabilities
Author(s)Machado, Luís Meira
KeywordsKaplan-Meier
Multi-state model
Nonparametric estimation
Presmoothing
Survival analysis
Issue date2016
PublisherInstitut d'Estadística de Catalunya (Idescat)
JournalSORT
Abstract(s)One important goal in clinical applications of multi-state models is the estimation of transition probabilities. Recently, landmark estimators were proposed to estimate these quantities, and their superiority with respect to the competing estimators has been proved in situations in which the Markov condition is violated. As a weakness, it provides large standard errors in estimation in some circumstances. In this article, we propose two approaches that can be used to reduce the variability of the proposed estimator. Simulations show that the proposed estimators may be much more efficient than the unsmoothed estimator. A real data illustration is included.
TypeArticle
URIhttp://hdl.handle.net/1822/43600
ISSN1696–2281
Publisher versionhttp://www.idescat.cat/sort/sort402/40.2.7.meira.pdf
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

Files in This Item:
File Description SizeFormat 
SORTLM2016.pdf
  Restricted access
596,47 kBAdobe PDFView/Open    Request a copy!

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID