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https://hdl.handle.net/1822/13416
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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.date.accessioned | 2011-09-01T10:50:25Z | - |
dc.date.available | 2011-09-01T10:50:25Z | - |
dc.date.issued | 2011 | - |
dc.identifier.issn | 1548-7660 | por |
dc.identifier.uri | https://hdl.handle.net/1822/13416 | - |
dc.description.abstract | In longitudinal studies of disease, patients can experience several events across a followup period. Analysis of such studies can be successfully performed by multi-state models. In the multi-state framework, issues of interest include the study of the relationship between covariates and disease evolution, estimation of transition probabilities, and survival rates. This paper introduces p3state.msm, a software application for R which performs inference in an illness-death model. It describes the capabilities of the program for estimating semi-parametric regression models and for implementing nonparametric estimators for several quantities. The main feature of the package is its ability for obtaining non- Markov estimates for the transition probabilities. Moreover, the methods can also be used in progressive three-state models. In such a model, estimators for other quantities, such as the bivariate distribution function (for sequentially ordered events), are also given. The software is illustrated using data from the Stanford Heart Transplant Study. | por |
dc.description.sponsorship | The authors acknowledge receiving financial support from the Spanish Ministry of Education & Science in the form of grant MTM2008-03129 and PGIDIT07PXIB300191PR of the Xunta de Galicia. Luis F. Meira-Machado also acknowledges financial support by Grant PTDC/MAT/104879/2008 (FEDER support included) of the Portuguese Ministry of Science, Technology and Higher Education, and by CMAT and FCT under the POCI 2010 program. Thanks to two anonymous referees for comments and suggestions which have improved the presentation of the article. | por |
dc.language.iso | eng | por |
dc.publisher | Foundation for Open Access Statistics | por |
dc.rights | restrictedAccess | por |
dc.subject | Kaplan-meier estimator | por |
dc.subject | Markov process | por |
dc.subject | Multi-state model | por |
dc.subject | Proportional hazards | por |
dc.subject | proportional hazards model | por |
dc.title | P3state.msm : analyzing survival data from an illness-death model | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://www.jstatsoft.org/v38/i03/paper | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 1 | por |
oaire.citationEndPage | 7 | por |
oaire.citationIssue | 3 | por |
oaire.citationTitle | Journal of Statistical Software | por |
oaire.citationVolume | 38 | por |
dc.identifier.doi | 10.18637/jss.v038.i03 | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Journal of Statistical Software | por |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals DMA - Artigos (Papers) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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JSS 2011.pdf Acesso restrito! | Artigo completo com acesso livre pela revista | 767,8 kB | Adobe PDF | Ver/Abrir |