COM-Poisson cure rate survival models and an application to a cutaneous melanoma data
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2009
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Resumo |
In this paper, we develop a flexible cure rate survival model by assuming the number of competing causes of the event of interest to follow the Conway-Maxwell Poisson distribution. This model includes as special cases some of the well-known cure rate models discussed in the literature. Next, we discuss the maximum likelihood estimation of the parameters of this cure rate survival model. Finally, we illustrate the usefulness of this model by applying it to a real cutaneous melanoma data. (C) 2009 Elsevier B.V. All rights reserved. |
Identificador |
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, v.139, n.10, p.3605-3611, 2009 0378-3758 http://producao.usp.br/handle/BDPI/28941 10.1016/j.jspi.2009.04.014 |
Idioma(s) |
eng |
Publicador |
ELSEVIER SCIENCE BV |
Relação |
Journal of Statistical Planning and Inference |
Direitos |
restrictedAccess Copyright ELSEVIER SCIENCE BV |
Palavras-Chave | #Competing risks #Cure rate models #Long-term survival models #Weighted Poisson distributions #Conway-Maxwell Poisson (COM-Poisson) distribution #TESTS #Statistics & Probability |
Tipo |
article original article publishedVersion |