Parametric regression models for recurrent events analysis based on Chen distribution

Sousa-Ferreira, Ivo; Abreu, Ana Maria; Rocha, Cristina

http://hdl.handle.net/10400.13/4277

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Autores

Sousa-Ferreira, Ivo

Abreu, Ana Maria

Rocha, Cristina

Resumo(s)

In this paper, two parametric regression models based on Chen dis tribution are proposed for situations where recurrent events have the same or dif ferent risks of occurrence. Inference is based on a maximum likelihood approach, which ensures consistent parameter estimators. However, since in recurrent event data there is within-subject correlation, the “one step” jackknife estimator is used. An application on a real data set is also provided for illustrative purposes.

Palavras-chave

Bathtub-shaped hazard Chen distribution Parametric survival models Recurrent events Variance corrected models . Faculdade de Ciências Exatas e da Engenharia

URI

http://hdl.handle.net/10400.13/4277

Citação

Sousa-Ferreira, I., Abreu, A. M. e Rocha., C. (2019). Parametric regression models for recurrent events analysis based on Chen distribution. Em Meira-Machado, L. e Soutinho, G. (eds), Proceedings of the 34th International Workshop on Statistical Modelling, Vol. 2, p. 200-205. ISBN: 978-989-20-9630-8.