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A Thesis Submitted to the Graduate Faculty of the National University, School of Engineering & Computing in partial fulfillment of the requirements for the degree of Masters of Science in Business Analytics
Prepared by Matthew C. Vanderbilt
MSBA Candidate & NU Scholar, National University
Director of Fiscal Affairs, Department of Medicine, UC San Diego School of Medicine
MatthewVanderbilt.com | GitHub | LinkedIn
The objective of this study was to statistically evaluate the association of potentially-preventable asthma hospitalizations and distance from primary-care facility, controlling for demographic and socioeconomic factors.
(in progress)
(in progress)
- SAS Enterprise Guide - ETL, EDA, & statistical analysis
- SAS Enterprise Miner - Decision Tree Modeling
- Microsoft Excel - Data presentation for reporting
- Microsoft Word - Authoring of final report
- Tableau - Data visualization
- California Health Interview Survey (CHIS) Public Use Data
- U.S. Census Bureau 2017 ACS 5-Year Estimates with All Public Use Microdata Areas within California
- University of California San Diego EPIC SlicerDicer Summary Views (approved use under IRB for HIPAA compliance)
- Matthew C. Vanderbilt - Initial work - mcvanderbilt
This code is licensed under GNU General Public License Version 3 - see the LICENSE.md file for details.
Praveen Akuthota, MD (Project Sponsor)
Associate Cliniical Professor
Associate Program Director, PCCM Feellowship
Division of Pulmonary, Critical Care, & Sleep Medicine
University of California San Diego School of Medicine
UCSD Profiles | UCSD Health | LinkedIn
Tyler Smith, MS, PhD (Project Advisor)
Professor & Chair, Community Health Department
National University School of Health & Human Services
NU.edu | LinkedIn
Ebrahim K. Tarshizi, MBA, PhD (Project Instructor)
Adjunct Faculty
National University School of Engineering & Computing
GitHub | LinkedIn
Shannon M.A. Vanderbilt (Industry Subject-Matter Expert)
Director, Hospital Contracting & Analytics
UC San Diego Health
LinkedIn
See References
