On the use of the modified power series family of distributions in a cure rate model context
2019 ◽
Vol 29
(7)
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pp. 1831-1845
Keyword(s):
Data Set
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In 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.
2016 ◽
Vol 46
(8)
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pp. 6342-6359
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Keyword(s):
2016 ◽
Vol 44
(7)
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pp. 1153-1164
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2018 ◽
Vol 22
(3)
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pp. 926-934
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2013 ◽
Vol 42
(3)
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pp. 586-602
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2015 ◽
Vol 16
(17)
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pp. 7923-7927
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Keyword(s):
2018 ◽
Vol 6
(3)
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2008 ◽
Vol 23
(4)
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pp. 251-259
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Keyword(s):
2016 ◽
Vol 180
(3)
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pp. 891-905
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