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Prediction of Degrees using Survival Analysis

Panyangam, Chonnart and Xia, Kai (2012) MASM01 20121
Mathematical Statistics
Abstract (Swedish)
Time to degree is one of the main concerns not only for the students but also for the colleges and universities all around the world. Time to degree could be influenced by different features, such as age, gender or admission criterion and so on. Survival analysis could be used to calculate the probability for a student to graduate in any specified length of semesters while Cox proportional hazard model could be fitted to study the factors that have effects on time to degree. Students who come from different background will actually have different time to graduate.
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author
Panyangam, Chonnart and Xia, Kai
supervisor
organization
course
MASM01 20121
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Time to Degree, Survival Analysis, Cox Proportional Hazard Model, Kaplan-Meier Estimator
language
English
id
2855663
date added to LUP
2012-06-26 14:37:39
date last changed
2012-06-26 14:37:39
@misc{2855663,
  abstract     = {Time to degree is one of the main concerns not only for the students but also for the colleges and universities all around the world. Time to degree could be influenced by different features, such as age, gender or admission criterion and so on. Survival analysis could be used to calculate the probability for a student to graduate in any specified length of semesters while Cox proportional hazard model could be fitted to study the factors that have effects on time to degree. Students who come from different background will actually have different time to graduate.},
  author       = {Panyangam, Chonnart and Xia, Kai},
  keyword      = {Time to Degree,Survival Analysis,Cox Proportional Hazard Model,Kaplan-Meier Estimator},
  language     = {eng},
  note         = {Student Paper},
  title        = {Prediction of Degrees using Survival Analysis},
  year         = {2012},
}