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Cortesão Pais Figueira da Silva Abreu, Ana Maria

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2013-43DF-3CB0
0000-0002-6155-8492

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End date: 2019 × Subject: Recurrent events ×

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Now showing 1 - 2 of 2
  • Hybrid model for recurrent event data
    Publication . Sousa-Ferreira, Ivo; Abreu, Ana Maria
    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.
    2019Conference object Restricted access Show more
  • Parametric regression models for recurrent events analysis based on Chen distribution
    Publication . Sousa-Ferreira, Ivo; Abreu, Ana Maria; Rocha, Cristina
    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.
    2019Conference object Open access Show more