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Performance profiling as an intelligence-led approach to antidoping in sports
James Hopker1, Jim Griffin2, James Brookhouse1
1School of Sport and Exercise Sciences, University of Kent, UK.
Analyzing athlete performance trajectories can help detect doping. This study uses a Bayesian spline model to identify distinct performance patterns in clean versus doped athletes, improving targeted anti-doping efforts.
Area of Science:
- Sports Science
- Anti-Doping Research
- Biostatistics
Background:
- Efficient resource allocation is vital for effective anti-doping strategies.
- The athlete biological passport aims to optimize testing by identifying athletes and timing interventions.
- A more intelligence-led approach is needed to enhance targeted anti-doping testing.
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