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Faculty & Research

Colin Fogarty

  • Assistant Professor of Operations Research and Statistics

Colin Fogarty is an Assistant Professor of Operations Research and Statistics at the MIT Sloan School of Management. 

His research interests lie in the design and analysis of observational studies. In particular, Colin focuses on investigating whether existing qualitative advice from quasi-experimentalists on how to conduct a "good" observational study can be shown to produce demonstrable quantitative improvements in the resulting inference. Much of his work utilizes modern optimization techniques in the analysis of observational studies. Colin is interested in applying his methodological work to observational studies in health care, public health and public policy. He has published in the Journal of the American Statistical Association, Biometrics, and the Annals of Applied Statistics.

Colin received his AB in statistics from Harvard University and his PhD in statistics from the Wharton School of the University of Pennsylvania.

  • "Discrete Optimization for Interpretable Study Populations and Randomization Inference in an Observational Study of Severe Sepsis Mortality." Fogarty, Colin, Mark E. Mikkelsen, David F. Gaieski, and Dylan S. Small. Forthcoming.
  • "Discussion of `Perils and Potentials of Self-selected Entry to Epidemiological Studies and Surveys' by Niels Keiding and Thomas A. Louis." Fogarty, Colin, Dylan S. Small, and Joseph Gastwirth. Journal of the Royal Statistical Society, Series A. Forthcoming.
  • "Randomization Inference and Sensitivity Analysis for Composite Null Hypotheses with Binary Outcomes in Matched Observational Studies." Fogarty, Colin, Pixu Shi, Mark Mikkelsen, and Dylan Small. Journal of the American Statistical Association: Theory and Methods. Forthcoming.
  • "Sensitivity Analysis for Multiple Comparisons in Matched Observational Studies through Quadratically Constrained Linear Programming." Fogarty, Colin and Dylan S. Small. Journal of the American Statistical Association. Forthcoming.
  • "Bayesian Hierarchical Regression on Clearance Rates in the Presence of \lag" and \tail" Phases with an Application to Malaria Parasites." Fogarty, Colin, Michael P. Fay, Jennifer A. Flegg, Kasia Stepniewska, Rick M. Fairhurst and Dylan S. Small. Biometrics Vol. 71, No. 3 (2015): 751-759.
  • "Equivalence Testing for Functional Data with an Application to Comparing Pulmonary Function Devices." Fogarty, Colin and Dylan S. Small. Annals of Applied Statistics Vol. 8, No. 4 (2014): 2002-2026.