Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/69573
Título: | An R package for inference and prediction in an illness-death model |
Autor(es): | Machado, Luís Meira Sestelo, Marta |
Palavras-chave: | Illness-death model Kaplan-Meier Landmark approach Nonparametric estimation Survival analysis |
Data: | 2018 |
Resumo(s): | Multi-state models are a useful way of describing a process in which an individual moves through a number of nite states in continuous time. The illness-death model plays a central role in the theory and practice of these models, describing the dynamics of healthy subjects who may move to an intermediate `diseased' state before entering into a terminal absorbing state. In these models one important goal is the modeling of transition rates which is usually done by studying the relationship between covariates and disease evolution. However, biomedical researchers are also interested in reporting other interpretable results in a simple and summarized manner. These include estimates of predictive probabilities, such as the transition probabilities, occupation probabilities, cumulative incidence functions, prevalence and the sojourn time distributions. An R package was built providing answers to all these topics. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/69573 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CBMA - Resumos em livros de atas/Abstracts in proceedings |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
2018 IWSM with Marta.pdf | Paper | 276,95 kB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons