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Activity Number:
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323
- Causal Inference in Sports Statistics
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Type:
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Invited
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Date/Time:
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Tuesday, July 30, 2019 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Sports
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Abstract #300102
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Title:
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Estimating the Health Consequence of Playing Football: Evidence from Observational Studies
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Author(s):
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Sameer K. Deshpande* and Raiden Hasegawa and Dylan Small and Jordan Weiss
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Companies:
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CSAIL, MIT and University of Pennsylvania and University of Pennsylvania and University of Pennsylvania
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Keywords:
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Observational study;
Public Health;
Matching;
Bayesian Additive Regression Trees;
Randomization Inference
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Abstract:
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There has been increasing concern in both the scientific community the wider public about the short- and long-term health consequences of playing American-style tackle football. Much of this concern, especially in the public domain, stems from case reports of chronic traumatic encephalopathy (CTE) present in the brains of deceased former players. Considerably less work has focused on understanding the causal effect of playing football on later-life health. In this talk, I will discuss two matched observational studies that attempt to elucidate this relationship using data from large longitudinal studies. Particular emphasis will be placed on discussing our study design and analysis plan, highlighting the challenges faced in defining and estimating the causal quantity of interest and our methodology. I will also discuss limitations of our approach and outline some new directions.
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Authors who are presenting talks have a * after their name.
