Matt Tenan is Mostly on LinkedIn These Days Profile picture
Physiologist & Data Scientist. Program Director of Human Performance & Data Science @WVURNI. Unless I post data, it's just my opinion.
Jan 20, 2023 7 tweets 3 min read
As they say, "if you come at me, you better not miss".

I've published a couple of papers in both @JAT_NATA and @JOSPT where we were critical of existing Minimal Clinically Important Difference (MCID) metrics

One suggestion was to use a baseline adjusted ROC... Terlin disagreed. Here are the JAT and JOSPT papers. One of which was a full simulation, the other was with empirical data:

meridian.allenpress.com/jat/article/56…

jospt.org/doi/10.2519/jo…
Jun 2, 2022 17 tweets 5 min read
While I'm still bummed I can't be at #ACSM22 sharing work in person, here is a Thread about a new paper we published in @JOSPT titled:

"All MCIDs are Wrong, But Some May Be Useful"
jospt.org/doi/abs/10.251…

Buckle up!
1/17 It was great working with a bright, young PT on this paper @chrisB0Y3R, who brought a great clinical perspective.

This followed an earlier simulation published in @JAT_NATA showing that Minimal Clinically Important Difference metrics were biased



2/17
Mar 4, 2021 17 tweets 6 min read
Thanks to @erikMeira for the endorsement as an Athletic Trainer to follow on Twitter.

I'll take this opportunity to demonstrate to my Sports Med colleagues why you shouldn't trust the recently @US_FDA Authorized Q-Collar to protect against TBI

cnn.com/2021/02/27/us/…

1/17 I will demonstrate that the key study the @US_FDA cites for their authorization is a case study in scientific obfuscation, error inflation and (if we want to get real accusatory) p-value hacking.

Here is the FDA's press release citing the paper: fda.gov/news-events/pr…

2/17
Dec 2, 2020 20 tweets 7 min read
This is one of those few papers I've written that I've felt was really important. I'll try and walk through the problems & remediations we identified with the widely-used Minimal Clinically Important Difference (MCID) measures used in Sports Medicine
*THREAD*
1/20 This paper came about because, in my time working with @MOTIONetwork, I am often asked by some of our leading physicians (@AndrewSheeanMD @jondickensmd) to derive MCID metrics for our Patient Reported Outcomes.

Basically, they want to know how much change is meaningful.

2/20
Oct 8, 2019 24 tweets 10 min read
Exercise & Sport Sciences has a poor track record developing "Novel Statistical Methods" & a new one was recently published:
link.springer.com/article/10.100…
As a reviewer on this paper now working to have it retracted, here is my perspective on how these methods get popularized

[THREAD] First, a table of contents:
1. Invited to review the manuscript & suggest rejection
2. Contacted by outside researchers because concerns a flawed paper was published in @SportsMedicineJ where I am on the EB
3. I contact EiC to determine why the flawed paper was published
...
2/23
Mar 18, 2019 10 tweets 2 min read
I apparently have a bit of a reputation as someone who is anti-machine learning or anti-AI when it comes to human research. This is a bit of misrepresentation of my views, and (I'd argue) a misrepresentation of the issues "statistics people" take with AI/ML as a whole.

(THREAD) I personally think that AI/ML has a lot to bring to the table to enhance science, health and human performance. The problem is that the AI/ML crowd are over-selling their wares and often being disingenuous about what is current state-of-the art

2/10
Mar 12, 2019 8 tweets 3 min read
I've now had time to watch and read this interesting presentation by @LukeBornn @OSPpatrick @DarcyNorman at @SloanSportsConf and have had time to collect my thoughts. Here's my thread and/or rant... depending on your perspective.

1/8 First, this is a great team of people with an expertise to tackle this problem. I actually think it's funny that the team as a whole mirrors my own background (statistician, athletic trainer & exercise scientist). Great team effort.

2/8