Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/13416
Título: | P3state.msm : analyzing survival data from an illness-death model |
Autor(es): | Machado, Luís Meira Roca-Pardiñas, Javier |
Palavras-chave: | Kaplan-meier estimator Markov process Multi-state model Proportional hazards proportional hazards model |
Data: | 2011 |
Editora: | Foundation for Open Access Statistics |
Revista: | Journal of Statistical Software |
Resumo(s): | 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/13416 |
DOI: | 10.18637/jss.v038.i03 |
ISSN: | 1548-7660 |
Versão da editora: | http://www.jstatsoft.org/v38/i03/paper |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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 |