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olin 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'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.
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BIOMETRIKAno. 1 (2024): 331-338
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGYno. 2 (2022): 295-320
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGYno. 3 (2021): 482-504
ANNALS OF APPLIED STATISTICSno. 2 (2019): 767-796
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