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Biostatistician
University of Texas Medical Branch
I do not have any relevant financial / non-financial relationships with any proprietary interests.
A. Personal Statement
My interest in research began when I was project assistant at Bionumerik Pharmaceuticals. While there, part of my responsibilities were to provide basic data analysis support for our clinical trials. This really stoked my interest in statistics, and eventually I decided to pursue an advanced degree at Texas A&M University. While in the statistics program there, I had the opportunity to study many statistical techniques, including t-tests, linear and logistic regression, study design, mixed modeling and predictive modeling. Additionally, I studied advanced statistical programming and data management techniques. After graduating, I obtained a position in UTMB’s Office of Biostatistics as a statistician, where I have spent the last 10 months. In that time, I have constructed analysis files for several large claims data projects, and performed statistical analysis involving mixed modeling, logistic regression and spatial clustering. Together, I think my education and experience qualifies me to serve as a biostatistician on the current research project.
B. Positions and Honors
Positions
2010 – 2013 Project Assistant, Bionumerik Pharmaceuticals Inc., San Antonio, TX
2014 – 2015 Tutor, Northwest Vista Community College, San Antonio, TX
2016 – Present Biostatistician, Office of Biostatistics, Department of Preventive Medicine and Community Health, University of Texas Medical
C. Additional Information: Research Support
5 K01 HD086290-02 Karmarkar (PI)
National Institutes of Health
Comparing Access and Effectiveness of Post-Acute Care Settings Among Medicare Beneficiaries
ytical approaches
Major Goal(s): Explore variation in access to post-acute care settings and determine the extent to which patient-, facility-, and market-level factors are associated with this variation.
Role: Biostatistician
5 R01 HS024711-02 Reistetter (PI)
National Institute of Health
Development and Evaluation of Rehabilitation Service Areas
Major Goal(s): Develop geographic areas (i.e. Rehabilitation Service Areas) for post-acute care rehabilitation using national data from CMS.
Role: Biostatistician
5R01HD069443-03 Ottenbacher (PI)
National Institute of Health
Hospital Readmission and Inpatient Medical Rehabilitation
Major Goal(s): Examine national data from the Centers for Medicare and Medicaid Services and the Uniform Data System for Medical Rehabilitation (UDSMR) to determine rates of hospital readmission for the six largest impairment groups receiving inpatient medical rehabilitation in the U.S. (stroke, fracture of the lower extremity, joint replacement of the lower extremity, debility, neurological disorders and traumatic brain injury) (MedPAC, 2011).
Role: Biostatistician
