Greg Knowlton, MS, joined Health Partners Institute as Statistician in the Research Methodology Group after earning an MS in Biostatistics and an MS in Health Services Research, Policy, & Administration from the School of Public Health at the University of Minnesota. During graduate school, Greg gained expertise in statistical methods for causal inference using observational data, as well as cost-effectiveness analysis and simulation modeling for the evaluation of public health interventions. In his graduate school research, Greg co-developed the Minnesota COVID-19 Model in collaboration with the Minnesota Department of Health during the early stages of the pandemic, estimated the cost-effectiveness of HIV-related interventions targeting the PrEP cascade of care, and co-developed dampack, an R package for conducting cost-effectiveness analysis using decision-analytic simulation models. At the Institute, Greg utilizes a wide range of statistical and decision-analytic methods for funded works related to infectious disease control, mental health care, chronic disease management, and smoking cessation.
Conducting Institute research since 2022. Education and training: MS, Health Services Research, Policy & Administration (Area of Emphasis: Decision Sciences), University of Minnesota School of Public Health, August 2022
MS, Biostatistics, University of Minnesota School of Public Health, May 2022
BA, Chemistry, Amherst College, Magna Cum Laude, Phi Beta Kappa, May 2015 Research interests include: Multilevel Modeling Survival Analysis Marginal Structural Modeling Simulation Modeling Cost-effectiveness Analysis Software Development in R
Current research activities and funding: MN EHR Consortium VISION COVID-19 Vaccine Efficacy Project
COVID-19 Infection and Vaccination Outcomes Stratified by Language and Country of Origin—An Opportunity to Target Interventions
Comparison of Type 2 Diabetes Pharmacotherapy Regimens Using Targeted Learning
Comparing Two Approaches to Care Coordination for High-Cost/High-Need Patients in Primary Care
Impact and Implications of Rapid Transition to Virtual Mental Health Care during COVID-19
The Interplay of ENDS and Tobacco Control Policy: Impact on the Population Harms of Tobacco
Greg Knowlton, MS, joined Health Partners Institute as Statistician in the Research Methodology Group after earning an MS in Biostatistics and an MS in Health Services Research, Policy, & Administration from the School of Public Health at the University of Minnesota. During graduate school, Greg gained expertise in statistical methods for causal inference using observational data, as well as cost-effectiveness analysis and simulation modeling for the evaluation of public health interventions. In his graduate school research, Greg co-developed the Minnesota COVID-19 Model in collaboration with the Minnesota Department of Health during the early stages of the pandemic, estimated the cost-effectiveness of HIV-related interventions targeting the PrEP cascade of care, and co-developed dampack, an R package for conducting cost-effectiveness analysis using decision-analytic simulation models. At the Institute, Greg utilizes a wide range of statistical and decision-analytic methods for
