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. Firstly it is possible to extend the longitudinal sub-model considering more than one longitudinal covariate. Secondly also 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 drop-out (a withdrawal from the University system before the graduation)

Mazzoleni, M. (2019). The Analysis of student paths at the University using the Multivariate Joint Models. COMMUNICATIONS IN STATISTICS. THEORY AND METHODS, 48(1), 25-39 [10.1080/03610926.2017.1390683].

The Analysis of student paths at the University using the Multivariate Joint Models

Mazzoleni, M
2019

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. Firstly it is possible to extend the longitudinal sub-model considering more than one longitudinal covariate. Secondly also 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 drop-out (a withdrawal from the University system before the graduation)
Articolo in rivista - Articolo scientifico
Joint models, survival analysis
English
2019
48
1
25
39
none
Mazzoleni, M. (2019). The Analysis of student paths at the University using the Multivariate Joint Models. COMMUNICATIONS IN STATISTICS. THEORY AND METHODS, 48(1), 25-39 [10.1080/03610926.2017.1390683].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/184467
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