JAT Chat | When Statistical Tests Compound in Sports Medicine Research

About this episode

The episode discusses the impact of multiple statistical tests on false-positive rates in sports medicine research.

Welcome to JAT Chat, presented by the Journal of Athletic Training, the official journal of the National Athletic Trainers' Association. In this episode, co-host Dr. Kara Radzak speaks with Dr. Travis Anderson and Dr. Eric Post about their recently published article, "Multiplying Alpha: When Statistical Tests Compound in Sports Medicine Research". Drs. Anderson and Post discuss how multiple statistical tests can inflate false-positive rates in sports medicine research, explain family-wise and experiment-wise error, and illustrate risks with a large-scale Paris Olympic Games analysis. They recommend transparency, pre-registration, correction for multiplicity, and consider Bayesian approaches to improve rigor and clinical decision-making. Article: https://doi.org/10.4085/1062-6050-0700.24 Guest Bios: Travis Anderson, PhD: Travis recently joined US Soccer as the Manager of Research and Innovation, following his work as a Research Scientist at the USOPC where he worked closely with Eric. His academic background is in exercise physiology, although he dabbled in statistics throughout graduate school and enjoys continuing his education in applied statistics in sports medicine and…

People in this episode

Host: Kara Radzak

Guests: Eric Post Phd Atc, Travis Anderson Phd

Topics covered

• statistical tests
• sports medicine research
• false-positive rates
• Bayesian approaches

Keywords

• multiplicity
• clinical decision-making
• transparency
• pre-registration

Mentioned in this episode

Books & works: JAT Chat, Multiplying Alpha: When Statistical Tests Compound in Sports Medicine Research

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