Gallardo, Diego I.Diego I.GallardoGomez, Yolanda M.Yolanda M.GomezGomez, Hector W.Hector W.Gomezde Castro, MarioMariode Castro2025-12-302025-12-3020201477-0334https://hdl.handle.net/20.500.12740/23712In this paper, we propose a generalization of the power series cure rate model for the number of competing causes related to the occurrence of the event of interest. The model includes distributions not yet used in the cure rate models context, such as the Borel, Haight and Restricted Generalized Poisson distributions. The model is conveniently parameterized in terms of the cure rate. Maximum likelihood estimation based on the Expectation Maximization algorithm is discussed. A simulation study designed to assess some properties of the estimators is carried out, showing the good performance of the proposed estimation procedure in finite samples. Finally, an application to a bone marrow transplant data set is presented.Acceso AbiertoExpectation Maximization algorithmlong-term survival modelsmaximum likelihoodpromotion time cure rate modelsurvival analysishttp://dx.doi.org/10.1177/0962280219876962