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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 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.
Publications
"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. Forthcoming. arXiv Preprint.
"Malaria Parasite Clearance Rate Regression: An R Software Package for a Bayesian Hierarchical Regression Model."
Sharifi-Malvajerdi, Saeed, Feiyu Zhu, Colin B. Fogarty, Michael P. Fay, Rick M. Fairhurst, Jennifer A. Flegg, Kasia Stepniewska, and Dylan S. Small. Malaria Journal Vol. 18, No. 4 (2019): 1-16. Download Paper.
"Regression-Assisted Inference for the Average Treatment Effect in Paired Experiments."
Fogarty, Colin. Biometrika Vol. 105, No. 4 (2018): 994-1000. arXiv Preprint.
"On Mitigating the Analytical Limitations of Finely Stratified Experiments."
Fogarty, Colin. Journal of the Royal Statistical Society: Series B (Statistical Methodology) Vol. 80, No. 5 (2018): 1035-1056. arXiv Preprint.
"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 Vol. 112, No. 517 (2017): 321-331.
"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 Vol. 111, No. 516 (2017): 1820-1830.