This paper introduces a framework of techniques that separately have in the past been developed and used on survival data but are now proposed to be separate parts of a sequence of stages in a much larger modelling process. By integrating these methods to¬-gether, it is proposed that the survival data undergoes a much more thorough investiga¬tion and as a result yields a greater in-depth reporting of the survival distributions, and the covariates that best characterise the survival distribution behaviours in a manner that retains the simple straightforward way in which these methods are clear and easy to use. The framework is applied to a specific data set to study the Length of Studies (LoS) of students at a Greek university enrolled on courses until the event of interest occurs, that is, the depar¬tu¬re from the course due to graduation, dropout or extensive period of study time. Results conclude that the approaches applied in this framework offer a more in-depth insight into student behaviour highlighting also the most influential characteristics.

Kalamatianou, A., Marshall, A., Zenga, M. (2014). Coxian Phase-type Distributions, Survival Trees and the Gini Index Collaborating together to Provide an in-Depth Knowledge of the Distribution of the Length of University Studies. In C. H. Skiadas (a cura di), Theoretical and Applied Issues in Statistics and Demography (pp. 103-120). ISAST.

Coxian Phase-type Distributions, Survival Trees and the Gini Index Collaborating together to Provide an in-Depth Knowledge of the Distribution of the Length of University Studies

ZENGA, MARIANGELA
Ultimo
2014

Abstract

This paper introduces a framework of techniques that separately have in the past been developed and used on survival data but are now proposed to be separate parts of a sequence of stages in a much larger modelling process. By integrating these methods to¬-gether, it is proposed that the survival data undergoes a much more thorough investiga¬tion and as a result yields a greater in-depth reporting of the survival distributions, and the covariates that best characterise the survival distribution behaviours in a manner that retains the simple straightforward way in which these methods are clear and easy to use. The framework is applied to a specific data set to study the Length of Studies (LoS) of students at a Greek university enrolled on courses until the event of interest occurs, that is, the depar¬tu¬re from the course due to graduation, dropout or extensive period of study time. Results conclude that the approaches applied in this framework offer a more in-depth insight into student behaviour highlighting also the most influential characteristics.
Capitolo o saggio
Coxian phase-type distributions, Survival trees, Gini index, Length of uni¬ver¬sity studies
English
Theoretical and Applied Issues in Statistics and Demography
C. H. Skiadas
2014
978-6188125773
ISAST
103
120
Kalamatianou, A., Marshall, A., Zenga, M. (2014). Coxian Phase-type Distributions, Survival Trees and the Gini Index Collaborating together to Provide an in-Depth Knowledge of the Distribution of the Length of University Studies. In C. H. Skiadas (a cura di), Theoretical and Applied Issues in Statistics and Demography (pp. 103-120). ISAST.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/85693
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