Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/31544
Título: | Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model |
Autor(es): | Machado, Luís Meira Uña-Álvarez, Jacobo de Datta, Somnath |
Palavras-chave: | Conditional survival Dependent censoring Kaplan-Meier Multi-state model Nonparametric regression |
Data: | 2015 |
Editora: | Springer Verlag |
Revista: | Computational Statistics |
Citação: | Meira-Machado, L., de Una-Alvarez, J., & Datta, S. (2015). Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model. Computational Statistics, 30(2), 377-397. doi: 10.1007/s00180-014-0538-6 |
Resumo(s): | One important goal in multi-state modeling is the estimation of transition probabilities. In longitudinal medical studies these quantities are particularly of interest since they allow for long-term predictions of the process. In recent years signi ficant contributions have been made regarding this topic. However, most of the approaches assume independent censoring and do not account for the influence of covariates. The goal of the paper is to introduce feasible estimation methods for the transition probabilities in an illness-death model conditionally on current or past covariate measures. All approaches are evaluated through a simulation study, leading to a comparison of two di erent estimators. The proposed methods are illustrated using real a colon cancer data set. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/31544 |
DOI: | 10.1007/s00180-014-0538-6 |
ISSN: | 0943-4062 1613-9658 |
Versão da editora: | http://link.springer.com/article/10.1007%2Fs00180-014-0538-6 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
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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CTPCOST.pdf | Full paper | 515,69 kB | Adobe PDF | Ver/Abrir |