Hybrid model for recurrent event data

Sousa-Ferreira, Ivo; Abreu, Ana Maria

http://hdl.handle.net/10400.13/2580

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Authors

Sousa-Ferreira, Ivo

Abreu, Ana Maria

Abstract(s)

In the last four decades, there has been an increasing interest in developingsurvivalmodelsappropriateformultipleeventdataand,inparticular,for recurrentevent data. For these situations, several extensionsof the Cox’s regression model have been developed. Some of the most known models were suggested by: Prentice, Williams, and Peterson (PWP); Andersen and Gill (AG); Wei, Lin, and Weissfeld (WLW);andLee,Wei, andAmato(LWA).Thesemodelscanhandlewith situations where exist potentially correlated lifetimes of the same subject (due to the occurrence of more than one event for each subject) which is common in this type of data. In this chapter we present a new model, which we call hybrid model, with the purpose of minimizing some limitations of PWP model. With this model we obtained an improvement in the precision of the parameters estimates and a better ﬁt to the simulated data.

Keywords

Correlated observations Extensions of Cox model Hybrid model Recurrent events Survival analysis . Faculdade de Ciências Exatas e da Engenharia

URI

http://hdl.handle.net/10400.13/2580

Citation

Sousa-Ferreira I., Abreu A.M. (2019) Hybrid Model for Recurrent Event Data. In: Ahmed S., Carvalho F., Puntanen S. (eds) Matrices, Statistics and Big Data. IWMS 2016. Contributions to Statistics. Springer, Cham, pp 23-33.