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Application of Survival Analysis in Forecasting Medical Students at Risk

GHASEMI, ABOLFAZL
http://orcid.org/0000-0002-3688-2805
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535107693904394

Abstract Details

2018, Doctor of Philosophy (PhD), Ohio University, Educational Research and Evaluation (Education).
The purpose of this study was to build a forecasting model for medical students at risk using the survival analysis technique. Authors of previous studies have investigated dropouts from medical programs or success of medical students on national board exams. However, little research has been done to identify students at risk, mainly the timing of failure and the risk factors surrounding this situation. The theoretical framework of this study, which considers psychological, sociological, and organizational elements that affect students’ success or failure, were reviewed. The Cox regression model was used. The findings of this study indicated that gender, being the first generation, and being in-state are not risk factors for medical students. However, age, race/ethnicity, undergraduate science GPA, and MCAT subscores (specifically in biology, physics, and verbal) are the risk factors that can be incorporated into the forecasting model. The robustness of the forecasting model was evaluated by running resampling 10,000 times through the bootstrapping technique. Hazard ratios remained the same, and no significant changes occurred. The results of this study support a comprehensive prevention program by using historical data from pre-admissions variables and timing of failures records, and building a forecasting model as the proper strategy to proactively target students at risk.
Krisanna Machtmes (Committee Chair)
Yuchun Zhou (Committee Member)
161 p.
Educational Evaluation; Educational Tests and Measurements
Medical Student; At-Risk Students; Cox Regression Model; Survival Analysis

Recommended Citations

Citations

  • GHASEMI, A. (2018). Application of Survival Analysis in Forecasting Medical Students at Risk [Doctoral dissertation, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535107693904394

    APA Style (7th edition)

  • GHASEMI, ABOLFAZL. Application of Survival Analysis in Forecasting Medical Students at Risk. 2018. Ohio University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535107693904394.

    MLA Style (8th edition)

  • GHASEMI, ABOLFAZL. "Application of Survival Analysis in Forecasting Medical Students at Risk." Doctoral dissertation, Ohio University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535107693904394

    Chicago Manual of Style (17th edition)

ohiou1535107693904394
144
© 2018, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.