Ideas Made to Matter
Get to know MIT Sloan’s eight new faculty members
New professors examine manufacturing in the developing world, improving health care with limited resources, and more.
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Colin Fogarty
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Colin Fogarty is the Sarofim Family Career Development Professor and an Assistant Professor of Operations Research and Statistics at the MIT Sloan School of Management.
Colin's research interests lie in the design and analysis both of randomized experiments, and of observational studies while assessing the robustness of a study's findings to hidden biases. Much of his work explores the extent to which classical randomization-based approaches for inference in experiments and observational studies extend to circumstances where heterogeneous treatment effects are suspected, as is common in practice. His work also illustrates tangible benefits for many quasi-experimental devices in terms of improved robustness to lurking variables in observational studies.
Colin received his AB in Statistics from Harvard University and his PhD in Statistics from the Wharton School of the University of Pennsylvania.
Publications
"Multivariate One-Sided Testing in Matched Observational Studies as an Adversarial Game."
Cohen, Peter, Matt Olson, and Colin Fogarty. Biometrika. Forthcoming. ArXiv Preprint.
"Studentized Sensitivity Analysis for the Sample Average Treatment Effect in Paired Observational Studies."
Fogarty, Colin B. Journal of the American Statistical Association. Forthcoming.
"Multivariate One-Sided Testing in Matched Observational Studies as an Adversarial Game."
Cohen, Peter L., Matt A. Olson, Colin B. Fogarty, MIT Sloan Working Paper 5682-19. Cambridge, MA: MIT Sloan School of Management, December 2019.
"Biased Encouragements and Heterogeneous Effects in an Instrumental Variable Study of Emergency General Surgical Outcomes."
Fogarty, Colin B., Kwonsang Lee, Rachel R. Kelz, Luke J. Keele, MIT Sloan Working Paper 5832-19. Cambridge, MA: MIT Sloan School of Management, September 2019.
"Testing Weak Nulls in Matched Observational Studies."
Fogarty, Colin B., MIT Sloan Working Paper 5833-19. Cambridge, MA: MIT Sloan School of Management, September 2019.
"Extended Sensitivity Analysis for Heterogeneous Unmeasured Confounding with an Application to Sibling Studies of Returns to Education."
Fogarty, Colin B., and Raiden B. Hasegawa. Annals of Applied Statistics Vol. 13, No. 2 (2019): 767 - 796. arXiv Preprint.