Smoothed landmark estimators of the transition probabilities
Meira-Machado, Luís (University of Minho (Guimaraes, Portugal). Centre of Mathematics and Department of Mathematics and Applications)

Data: 2016
Resum: 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.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Llengua: Anglès.
Document: article ; recerca ; publishedVersion
Matèria: Kaplan-Meier ; Multi-state model ; Nonparametric estimation ; Presmoothing ; Survival analysis
Publicat a: SORT : statistics and operations research transactions, Vol. 40 Núm. 2 (July-December 2016) , p. 375-398 (Articles) , ISSN 1696-2281

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