Comparison of objective Bayes factors for variable selection in parametric regression models for survival analysis

2014 ◽  
Vol 33 (26) ◽  
pp. 4637-4654
Author(s):  
Stefano Cabras ◽  
Maria Eugenia Castellanos ◽  
Silvia Perra
Keyword(s):  
Survival Analysis ◽  
Variable Selection ◽  
Regression Models ◽  
Bayes Factors ◽  
Parametric Regression ◽  
Objective Bayes ◽  
Parametric Regression Models

scholarly journals Analisis Survival Model Regresi Parametrik Lama Studi Mahasiswa

2019 ◽  
Vol 9 (1) ◽  
pp. 01
Author(s):  
Novita Eka Chandra ◽  
Siti Alfiatur Rohmaniah
Keyword(s):  
Survival Analysis ◽  
University Students ◽  
Regression Models ◽  
Organizational Factors ◽  
Weibull Model ◽  
Parametric Regression ◽  
Analysis Survival ◽  
Log Normal ◽  
Parametric Regression Models

Timely graduation of students can be used as an indicator to show the quality of a university. Students are said to graduate on time if they have a short study period of 4 years. The duration of the study of students varies because it is influenced by several factors. The purpose of this study is to determine the factors that have a significant effect on the duration of student studies. The factors studied included gender, GPA, school origin, joining the organization and working in college. The method used in this study is survival analysis. Survival analysis in this study used Log-normal and Weibull, parametric regression models. From the two models, it was found that the GPA and organizational factors significantly influence the duration of student studies. Next, to determine the best model is determined based on the minimum AIC value. Based on the comparison of the two models, the parametric Weibull model has a minimum AIC value, so this model is the best model. Based on HR values ??obtained by students who have a higher GPA and are more active in graduating faster or can be said to have fewer studies. Keywords: survival, regression, parametric, time of study.

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