Publicação: A new survival model with surviving fraction: An application to colorectal cancer data
Carregando...
Data
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Sage Publications Ltd
Tipo
Artigo
Direito de acesso
Acesso aberto
Resumo
We propose a new survival model for lifetime data in the presence of surviving fraction and obtain some of its properties. Its genesis is based on extensions of the promotion time cure model, where an extra parameter controls the heterogeneity or dependence of an unobserved number of lifetimes. We construct a regression model to evaluate the effects of covariates in the cured fraction. We discuss inference aspects for the proposed model in a classical approach, where some maximum likelihood tools are explored. Further, an expectation maximization algorithm is developed to calculate the maximum likelihood estimates of the model parameters. We also perform an empirical study of the likelihood ratio test in order to compare the promotion time cure and the proposed models. We illustrate the usefulness of the new model by means of a colorectal cancer data set.
Descrição
Palavras-chave
Colorectal cancer, cured fraction, cure rate model, EM algorithm, likelihood function, survival model
Idioma
Inglês
Como citar
Statistical Methods In Medical Research. London: Sage Publications Ltd, v. 28, n. 9, p. 2665-2680, 2019.
