Statistics Collaborative - Design and analysis for biomedical research

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Jeffrey Cornell, M.S.
Managing Statistical Programmer

Jeffrey Cornell, M.S., joined Statistics Collaborative, Inc. (SCI) in 2005. He is a member of the Society for Clinical Trials, the DC SAS User’s Group, and the Washington Statistical Society.

At SCI, Mr. Cornell has developed tabular and graphical presentations for treatment trials in breast cancer, melanoma, anemia, diabetic macular edema, diabetes, and atrial fibrillation, among others. He assisted in developing data analysis plans for studies evaluating coronary artery bypass surgery and a novel treatment for major depression.

An experienced programmer, Mr. Cornell has performed randomization audits in a range of clinical trial settings, including retinal vein occlusion, age-related macular degeneration, diabetic macular edema, and isolated systolic hypertension. He validates SAS program code and develops and maintains company-wide SAS macro code to improve project efficiency and data quality. In addition, he serves as a mentor and resource to SCI’s programmers, sharing best practices and examples to develop programming expertise around the company.

 

He received his B.S. in Mathematics from Michigan State University (1994) and his M.S. in Biology with a concentration in Environmental Science and Public Policy from George Mason University (2001). His thesis was titled “Carbon Cycle Succession in Created Salt Marshes”.