The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors
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Data
2011-01-01
Autores
Cancho, Vicente G.
Ortega, Edwin M. M.
Barriga, Gladys Dorotea Cacsire [UNESP]
Hashimoto, Elizabeth M.
Título da Revista
ISSN da Revista
Título de Volume
Editor
Taylor & Francis Ltd
Resumo
In this paper, we proposed a flexible cure rate survival model by assuming the number of competing causes of the event of interest following the Conway-Maxwell distribution and the time for the event to follow the generalized gamma distribution. This distribution can be used to model survival data when the hazard rate function is increasing, decreasing, bathtub and unimodal-shaped including some distributions commonly used in lifetime analysis as particular cases. Some appropriate matrices are derived in order to evaluate local influence on the estimates of the parameters by considering different perturbations, and some global influence measurements are also investigated. Finally, data set from the medical area is analysed.
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Palavras-chave
COM-Poisson distributions, cure fraction models, generalized gamma distributions, sensitivity analysis, lifetime data
Como citar
Journal of Statistical Computation and Simulation. Abingdon: Taylor & Francis Ltd, v. 81, n. 11, p. 1461-1481, 2011.