The analysis of student paths at the University using the multivariate joint models

Marcella Mazzoleni

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 1, 25-39

Abstract: The joint models analyse jointly survival and longitudinal data and they are composed of two sub-models, the longitudinal and the survival sub-model. It is interesting to analyse the situation in which one or both the sub-models are multivariate. First, it is possible to extend the longitudinal sub-model considering more than one longitudinal covariate. Second, the survival sub-model can be extended considering different competing events. The application proposed analyses the undergraduates’ paths in an Italian University, analysing the influence of one or more longitudinal covariates on the events graduation and dropout (a withdrawal from the University system before the graduation).

Date: 2019
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DOI: 10.1080/03610926.2017.1390683

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