PhD, Sport Scientist/Data Analyst. Co-host of the @tidy_explained screen cast. Tweeting about Physiology, Sports Science, and Data. All opinions are my own.
New Blog: Making predictions from a mixed model using R
I've covered mixed models a bunch in my blog. Today I go through extracting confidence intervals and prediction intervals, to go along with point estimate predictions.
https://t.co/q1MnbHnJG8
ESPN sources: three-time Pro-Bowl CB Devon Witherspoon and the Seahawks reached agreement on a four-year, $132 million extension and includes over $101 million guaranteed that now makes him the highest-paid cornerback in NFL history.
🚨Hiring!
The Boston Red Sox R&D group is looking for a Data Scientist and a Senior Data Scientist to develop statistical and machine learning solutions that support player evaluation, development, and on-field decision-making.
Please share with anyone who may be a great fit.
After six years in a marketing job, Nolan Teasley wrote letters to all 32 teams in 2013 asking for an opportunity to get back into football. He got one interview with the Seahawks and GM John Schneider, who hired him as an intern.
13 years later, Teasley is the Vikings’ new GM.
A nice overview of the challenges defining/classifying intense running demands from wearable sensors (which people often just take for granted from the technology developer)
I believe Seattle's Becca Erenbaum is the first data/analytics NFL staffer to make the official draft call to a club's pick.
Pretty cool and good for Becca (and Seattle)
The deadline for applications for the Fall 2026 cohort of our Master’s Degree program in Human Performance and Fitness is just 2 months away. Qualified candidates who are looking to advance their careers in the fitness industry are encouraged to apply. The program also provides extensive opportunities for students to engage in ongoing research in our state-of-the-art lab and potentially co-author publications. 💪
Below is the link to the online application.
https://t.co/jAUqrknZHc
New Blog: Bayesian Modeling with STAN Part 2 – Multiple Linear Regression & Model Checking
This week we extend our STAN model to handle multiple independent variables and cover some model diagnostic and convergences checks
https://t.co/cV2hmJi2AQ
New Blog: What’s the Plan Stan? Bayesian Modeling with STAN Part 1
Beginning a multi-part series on probabilistic coding in STAN (via R and Python)
https://t.co/DEavrEAFsN