Bio
Dr. Vaughan's teaching and research focus on statistics and data analytics. His statistical methodology research focuses on longitudinal data, statistical learning, and high-dimensional statistics. He also collaborates with other researchers in a variety of fields including suicide prevention, the interface of business and biotech, and education. Dr. Vaughan is also actively involved in outreach and service to the broader statistical community with several activities focused on supporting future statisticians and data scientists.
Professional Memberships
Bentley Health Thought Leadership Network 2017-09-01 - PresentNew England Statistical Society 2017-01-01 - PresentInternational Biometric Society 2016-01-01 - PresentInternational Chinese Statistical Association 2016-01-01 - PresentAmerican Statistical Association 2014-01-01 - PresentAwards and Honors
Outstanding Scholarly Contribution award, Bentley Teaching and Scholarly Activities CommitteeWinner of 2018 JSM Data Expo, American Statistical AssociationDean's Fund for International Travel, Dean of Arts & Sciences and the Dean of BusinessInternational Conference on Health Policy Statistics Travel Award, International Conference on Health Policy StatisticsBentley Health Thought Leadership Network funding proposal, Bentley Health Thought Leadership NetworkStudent Paper Award, Mental Health Statistics SectionDepartmental Service Award, University of ConnecticutDoctoral Student Travel Award, University of ConnecticutPre-Doctoral Dissertation Fellowship, University of ConnecticutPresidential Fellow, Trinity CollegeRobert C. Stewart Prize, Trinity CollegeScholarly Contributions and Creative Productions
Journal Articles
Jackson, M. J., Vaughan, G., Ledley, F. D. (2024). Association between expedited review designations and the US or global burden of disease for drugs approved by the US Food and Drug Administration, 2010--2019: a cross-sectional analysis. BMJ open, (14) 3 e076542. (Link)Hyman, C., Vaughan, G., Ledley, F. D. (2024). Implications of the Inflation Reduction Act for the biotechnology industry; sensitivity of investment and valuation to drug price indices and market conditions, Working Paper No. 223. Institute for New Economic Thinking Working Paper Series 223 (Link)Vaughan, G., Ledley, F. D. (2024). Modeling impact of inflation reduction act price negotiations on new drug pipeline considering differential contributions of large and small biopharmaceutical companies. Clinical Trials (Link)Shah, P., Vaughan, G., Ledley, F. D. (2023). Comparing the economic terms of biotechnology licenses from academic institutions with those between commercial firms.. PLOS ONE (Link)Roy, D., Vaughan, G., Hui, ., Geng, J. (2023). An exploration of National Weather Service daily forecasts using R Shiny. Computational Statistics Canino, M. C., Dunn-Lewis, C., Proessl, F., LaGoy, A. D., Hougland, J. R., Beck, A. L., Vaughan, G., Sterczala, A. J., Connaboy, C., Kraemer, W. J., Flanagan, S. D. (2022). Finding a Rhythm: Relating Ultra-Short-Term Heart Rate Variability Measures in Healthy Young Adults During Rest, Exercise, and Recovery. Autonomic Neuroscience: Basic and Clinical Rahman, N., Mozer, R., McHugh, K., Rockett, I., Chow, C. M., Vaughan, G. (2022). Using Natural Language Processing to Improve Suicide Classification Requires Consideration of Race. Suicide and Life Threatening Behavior, (52) 4 782-791. Vaughan, G., Aseltine, R., Chen, K., Yan, J. (2020). Efficient interaction selection for clustered data via stagewise generalized estimating equations. Statistics in Medicine Vaughan, G. (2020). Efficient big data model selection with applications to fraud detection. International Journal of Forecasting Ledley, F. D., McCoy, S. S., Vaughan, G., Cleary, E. (2020). Profitability of Large Pharmaceutical Companies Compared With Other Large Public Companies.. JAMA, (323) 9 834-843. Ganguli, D., Zhang, K., Zhu, X., Vaughan, G., Berger, P. D. (2019). Opioid Usage in the United States. Advances in Social Science Research Journal, (6) 5 232 - 249. Vaughan, G., Aseltine, R., Chen, K., Yan, J. (2017). Stagewise generalized estimating equations with grouped variables. Biometrics 73 1332-1342. Hyman, C., Dao, H., Vaughan, G., Ledley, F. Sensitivity of Biotechnology Valuations and Investment to Indicators of Drug Pricing. Management Science ForthcomingVaughan, G., Yan, J. Modeling clustered rate data with generalized estimating equations. ForthcomingVaughan, G., Kang, Y. Stagewise generalized estimating equations for varying coefficient models.. ForthcomingBook Chapters
Vaughan, G., Aseltine, R., Chiou, S., Yan, J. (2016). An alarm system for flu outbreaks using Google Flu Trend data. Statitical Applications From Clinical Trials and Personalized Medicine to Finance and Business Analytics. SpringerPresentations
Vaughan, G., Du, R., Ledley, F. D. (2021). “Will Reducing Drug Prices Slow Innovation?” Presented at the Bentley Research Council Bentley Research Symposium Waltham MA Vaughan, G. (2021). “High-Dimensional Analysis: Catching the best predictors with LASSO” Presented at the Connecticut College Connecticut College Research Colloquium New London Vaughan, G. (2020). “Stagewise Estimating Equations for Variable Selection with Longitudinal Rate Data” Presented at the American Statistical Association Joint Statistical Meetings Virtual Vaughan, G. (2019). “Stagewise Generalized Estimating Equations for Varying Coefficient Models” Presented at the American Statistical Association Joint Statistical Meetings Denver Colorado Vaughan, G. (2019). “Moving to a World Beyond ``p<0.05'': A Discussion” Presented at the Bentley's Center for Integration of Science and Industry Center for Integration of Science and Industry special presentation Waltham Massachusetts Vaughan, G. (2019). “Efficient Big Data Model Selection with Applications to Fraud Detection” Presented at the Mathematical Sciences Department Mathematical Sciences Research Seminar Bentley University Vaughan, G. (2018). “Session 3: What I do as a data scientist” Presented at the New England Statistical Society- NextGen Day of Data ScienceVaughan, G. (2018). “Efficient Big Data Model Selection with Applications to Fraud Detection” Presented at the American Statistical Association Joint Statistical Meetings Vancouver, Canada Roy, D., Vaughan, G., Hui, J., Geng, J. (2018). “Should You Pay Attention to Daily Weather Forecast? An Exploration” Presented at the American Statistical Association Joint Statistical Meetings Vancouver, Canada Vaughan, G. (2018). “Efficient big data model selection with applications to fraud detection.” Presented at the International Chinese Statistical Association ICSA Applied Statistics Symposium New Brunswick, New Jersey Vaughan, G. (2018). “Self Driving Cars: Deep Learning in the Automobile Industry” Presented at the Dr. Fred Ledley's Futurism courseVaughan, G. (2018). “Efficient Big Data Model Selection with Applications to Fraud Detection” Presented at the New England Statistics Society 32nd New England Statistical Symposium Amherst, MA Vaughan, G. (2018). Presented at the Bentley Data Innovation Network 3rd Analytics Without BordersVaughan, G. (2018). “Efficient Big Data Model Selection with Applications to Fraud Detection” Presented at the Bentley Data Innovation Network 3rd Analytics Without Borders Waltham, MA Vaughan, G. (2018). “High-Dimensional Analysis” Presented at the Center for Integration of Science and Industry Center for Integration of Science and Industry Meeting Waltham, MA Vaughan, G., Chen, K., Yan, J., Aseltine, R. (2018). “Efficient Interaction Selection via Stagewise Generalized Estimating Equations” Presented at the American Statistical Association International Conference on Health Policy Statistics Charleston, South Carolina Vaughan, G. (2017). “Efficient Model Selection for Correlated Data via Stagewise Generalized Estimating Equations” Presented at the Bentley Research Council Bentley Research Symposium Waltham MA Vaughan, G. (2017). “Stagewise generalized estimating equations with applications to suicide prevention” Presented at the American Statistical Association Joint Statistical Meetings Baltimore, MD Vaughan, G. (2017). “Efficient stagewise regression for correlated data with interaction selection” Presented at the University of Connecticut Modern Modeling Methods Conference Storrs, CT Vaughan, G. (2017). “Model Selection and Dimension Reduction: Dealing with High-Dimensional Analysis” Presented at the University of Connecticut University of Connecticut Statistical Consulting Spring Workshop SeriesVaughan, G. (2017). “Efficient Interaction selection via stagewise generalized estimating equations” Presented at the New England Statistical Society 31st New England Statistics Symposium Storrs, CT Vaughan, G. (2017). “Stagewise generalized estimating equations” Presented at the Department of Statistics, University of Connecticut Department of Statistics Colloquium Storrs, CT Vaughan, G. (2017). “Stagewise generalized estimating equations with grouped variables” Presented at the ENAR/IBS Eastern North American Region International Biometric Society Meeting Washington, DC Vaughan, G. (2016). “Stagewise generalized estimating equations” Presented at the American Statistical Association Joint Statistical Meetings Chicago, IL Vaughan, G. (2016). “Stagewise generalized estimating equations” Presented at the Smith College Women In Mathematics In New England Northhampton, MA Vaughan, G. (2015). “Surveillance of flu epidemic in Connecticut with Google Flu Trend data” Presented at the ICHPS 2015 Scientific Organizing Committee 11th International Conference on Health Policy Statistics Providence, RI Vaughan, G. (2015). “Surveillance of flu epidemic in Connecticut with Google Flu Trend data” Presented at the University of Connecticut 29th New England Statistics Symposium Storrs, CT Technology
(2018). sgee: Stagewise Generalized Estimating EquationsService
Service: Department
Committee Member for Math Minors Working Group 1/1/22 - 12/31/23Committee Member for Search Committee 8/1/22 - 2/28/23Committee Member for ST113 Syllabus Working Group 1/1/22 - 12/31/22Committee Member for Search Committee 7/30/18 - 1/31/19Service: Public
Class Agent for The Exeter Fund 1/1/13 - 12/31/18Referee for CIOWA 1/1/13 - 12/31/17Coach for UConn Club Wrestling Team 1/1/13 - 12/31/17Service: Professional
Officer, Vice President for NESS Strategies and Development 1/1/23 - PresentCommittee Member for Data Science Day Organizing Committee 1/1/20 - 11/7/20Committee Chair for Data Science Day Local Organizing Committee 1/1/19 - 11/16/19Committee Member for Statathon Organizing Committee 12/10/18 - 5/17/19Committee Member for NESS NextGen 1/1/18 - PresentConference/Workshop Organizer for Connecticut Data Fest 1/1/16 - 12/31/19Officer, President/Elect/Past for Graduate Student Committee 1/1/16 - 12/31/17Steward/Representative for Graduate Student Union 1/1/14 - 12/31/17Service: University
Committee Chair for Curriculum Policy Committee 7/1/23 - PresentCommittee Member for Curriculum Policy Committee 9/1/22 - Present for Senator for Faculty Senate 9/1/22 - Present
