Showing all posts by Mike
The small volume blood transfusion study

This study Time Trial Performance Is Sensitive to Low-Volume Autologous Blood Transfusion. by Beldjer et al has drawn some attention by a…

Part 2: Functional Principal Component Analysis of the Golden Cheetah Power Duration Data

After the first post on FPCA of the Golden Cheetah Open Data Dan Connelly (@djconnel) pointed out that since the FPCA uses…

Functional PCA of the Golden Cheetah Power Duration Data

With 2,445 athlete seasons (inclusion criteria: at least 100 power files per season and at least PD data out past…

“The Critical Power Model as a Potential Tool for Anti-doping”

Herein, we review the basis by which performance models could be used for doping detection, followed by critically reviewing the…

Tour de France Performance Trends (2008-2015,2017)

With 10 years (almost as 2016 is missing) of Tour de France finishing climbs on the spread sheets, it seemed…

A Bayesian approach to boost individual anti-doping classification accuracy by transverse monitoring of the athlete network

Purpose: To demonstrate a Bayesian approach utilizing the athlete network to boost the positive predictive value of individual doping classifications….

A Transverse Doping Probability Passport: A Conceptual Illustration

Athlete doping rarely happens in isolation. So why do ADAs try to tackle the problem that way? Consider this toy…

GoldenR Cheetah Script for Visualizing Delta W’balance By Interval

In the white is Skiba’s W’balance that you all know and love. I’ve combined this now with the interval discovery…

GoldenR Cheetah Script For Interval Discovery

The Golden Cheetah crew has now integrated R into Golden Cheetah in the latest development build. This update instantly gave…

Estimating the Probability of Doping as a Function of Power

A repeating theme heard in performance analysis discussions is that “Performance doesn’t prove doping.” Of course this is true because…

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