Sousa-Ferreira, IvoAbreu, Ana Maria2019-10-242019-10-242019Sousa-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.http://hdl.handle.net/10400.13/2580In 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.engCorrelated observationsExtensions of Cox modelHybrid modelRecurrent eventsSurvival analysis.Faculdade de Ciências Exatas e da Engenhariaconference object10.1007/978-3-030-17519-1_2