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dc.contributor.advisorSal y Rosas, Giancarloes_ES
dc.contributor.authorPebes Trujillo, Miguel Raúles_ES
dc.description.abstractDiscrete-time survival models are discussed and applied to the study of which factors are associated with student dropouts at a private university in Lima, Per_u. We studied the characteristics of 26; 790 incoming students enrolled between 2004 and 2012 in all the under-graduate programs at the University. The analysis include the estimation of the survival and hazard functions using the Kaplan-Meier method and the _tting of parametric models using the Cox proportional hazards regression and the Logistic regression for survival analysis, this last one, in order to include time varying variables as predictors. During the period of analysis, the cumulative probability of remain at the University after _ve years was 73.7% [95% CI: 73.1% - 74.4%]. In any period the hazard is greater than 4.4% and this highest value is reached in the 3rd semester. In a multivariate analysis, we found that academic factors (area of study, type of admission, standardized academic performance index, and the percentage of passed credits); economic factors (type of residence, and payment scale); and sociodemographic factors (mother education level, indicators of whether or not parents are alive, and the age of the student) were associated with the risk of dropout.es_ES
dc.publisherPontificia Universidad Católica del Perúes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Perúes_ES
dc.sourcePontificia Universidad Católica del Perúes_ES
dc.sourceRepositorio de Tesis - PUCPes_ES
dc.subjectSobrevivencia (Biometría)es_ES
dc.subjectAnálisis de series cronológicases_ES
dc.subjectAnálisis de regresiónes_ES
dc.subjectEstudiantes universitarioses_ES
dc.titleAn application of discrete time survival models to analyze student dropouts at a private university in Perues_ES
dc.typeinfo:eu-repo/semantics/masterThesises_ESíster en Estadísticaes_ESíaes_ES Universidad Católica del Perú. Escuela de Posgradoes_ESísticaes_ES

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