Nick Dadson
Education
Ph.D. and M.A., economics, Simon Fraser University; Honors B.A., economics, University of Western Ontario
Summary of Experience
Dr. Dadson specializes in the application of statistics and microeconomics to litigation, health care, and business matters. His case work experience supporting academic and industry experts spans multiple areas, including the natural language processing of user-generated content, conjoint survey analyses and structural market demand estimation in the telecommunications industry, and the evaluation of clinical trial data in health care litigation. He has also coauthored an expert report estimating competition dynamics in the betting industry. Dr. Dadson has coauthored published research on topics in antitrust and data science, and has presented his work at various academic and professional venues, including the Canadian Competition Bureau. Prior to joining Analysis Group, he taught international trade as a lecturer at Simon Fraser University.
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Vertical Relationships, Horizontal Effects? The Evolving Debate on Vertical Labor-Market Restraints
Cartel & Joint Conduct Review, Spring 2020
2020 -
Combining the Power of Artificial Intelligence with the Richness of Healthcare Claims Data: Opportunities and Challenges
PharmacoEconomics, March 8, 2019
2019Thesmar D, Sraer D, Pinheiro L, Dadson N, Veliche R, Greenberg PE
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Decision Making with Machine Learning in Our Modern, Data-Rich Health-Care Industry
Decision Making in a World of Comparative Effectiveness Research
2017 -
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July 19, 2022
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January 26, 2022
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May 20, 2021
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April 27, 2021
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AG Feature Building a Foundation for Essentiality in Standard Essential Patents -
Health Care Bulletin Making More Precise Health Care Decisions with Machine Learning -
AG Feature Using Machine Learning in Litigation -
Health Care Bulletin Machine Learning Algorithms in Health Care Litigation -
Health Care Bulletin Artificial Intelligence Can Open the Door to Better Learning, Better Care, and Better Coverage