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https://hdl.handle.net/1822/23252
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Campo DC | Valor | Idioma |
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dc.contributor.author | Machado, Luís Meira | - |
dc.contributor.author | Roca Pardiñas, Javier | - |
dc.contributor.author | Van Keilegom, Ingrid | - |
dc.contributor.author | Cadarso-Suárez, Carmen | - |
dc.date.accessioned | 2013-02-28T16:39:52Z | - |
dc.date.available | 2013-02-28T16:39:52Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 1613-9658 | por |
dc.identifier.uri | https://hdl.handle.net/1822/23252 | - |
dc.description | Published online 9 February 2013 | por |
dc.description.abstract | Times between consecutive events are often of interest in medical studies. Usually the events represent different states of the disease process and are modeled using multi-state models. This paper introduces and studies a feasible estimation method for the transition probabilities in a progressive three-state model. We assume that the vector of gap times (T1, T2) satisfies a nonparametric location-scale regression model T2 = m(T1) + σ(T1)ϵ, where the functions m and σ are ‘smooth’, and ϵ is independent of T1. Under this model, Van Keilegom, de Uña-Álvarez and Meira-Machado (2011) proposed estimators of the transition probabilities. However, the important issue of automatic bandwidth choice in this setting has not been examined, making the analysis of real datasets rather difficult. In this paper, we study the performance of their estimator in practice, we propose some modifications and study practical issues related to the implementation of the estimator, which involves the choice of an appropriate bandwidth. In an extensive simulation study the good performance of the method is shown. Simulations also demonstrate that the proposed estimator compares favorably with alternative estimators. Furthermore, the proposed methodology is illustrated with a real database on breast cancer. | por |
dc.description.sponsorship | Luís Meira-Machado acknowledges financial support from FEDER Funds through “Programa Operacional Factores de Competitividade - COMPETE” and by Portuguese Funds through FCT - “Fundação para a Ciência e a Tecnologia”, in the form of grants PTDC/MAT/104879/2008 and Est-C/MAT/UI0013/2011. Luís Meira-Machado and Carmen Cadarso-Suárez acknowledge the support received by the Spanish Ministry of Industry and Innovation, Grant MTM2011-28285-C02-01. Roca-Pardiñas acknowledges financial support from research Grants MTM2011-23204 (FEDER support included) of the Spanish Ministry of Industry and Innovation, and Galician Regional Authority (Xunta de Galicia) grant 10PXIB300068PR. Van Keilegom acknowledges financial support from the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013) / ERC Grant agreement No. 203650, from IAP research network P7/06 of the Belgian Government (Belgian Science Policy), and from the contract ‘Projet d’Actions de Recherche Concertées’ (ARC) 11/16-039 of the ‘Communauté française de Belgique’, granted by the ‘Académie universitaire Louvain’. We are also grateful to both the associate editor and the two peer referees for their valuable comments and suggestions, which served to make a substantial improvement to this paper. | por |
dc.language.iso | eng | por |
dc.publisher | Springer | por |
dc.rights | restrictedAccess | por |
dc.subject | Censoring | por |
dc.subject | Computational statistics | por |
dc.subject | Location-scale model | por |
dc.subject | Nonparametric regression | por |
dc.subject | Progressive three-state model | por |
dc.subject | Transition probabilities | por |
dc.title | Bandwidth selection for the estimation of transition probabilities in the location-scale progressive three-state model | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | The original publication is available at http://link.springer.com/article/10.1007%2Fs00180-013-0402-0 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 2185 | por |
oaire.citationEndPage | 2210 | por |
oaire.citationIssue | 5 | por |
oaire.citationTitle | Computational Statistics | por |
oaire.citationVolume | 28 | por |
dc.identifier.doi | 10.1007/s00180-013-0402-0 | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Computational Statistics | por |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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PaperTPCS 2013.pdf Acesso restrito! | Artigo | 504,73 kB | Adobe PDF | Ver/Abrir |