Try out our estimator with the semicor R package: github.com/statimagcoll...
Thanks to everyone involved in this work!
Thanks to everyone involved in this work!
Out-of-sample machine learning prediction accuracy underestimates the true maximum achievable predictive accuracy (MAPA) for brain phenotype associations. @mntj21.bsky.social used double ML to improve estimates for ML accuracy. w/ @edwardhkennedy.bsky.social
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
December 1, 2025 at 8:10 PM
Try out our estimator with the semicor R package: github.com/statimagcoll...
Thanks to everyone involved in this work!
Thanks to everyone involved in this work!
Reposted by Megan Jones
🍄 Our new living systematic review and meta-analysis on psilocybin for depression is out. Here's what we found and the open science infrastructure we built to support it 🧪🧵
www.medrxiv.org/content/10.1...
www.medrxiv.org/content/10.1...
August 18, 2025 at 1:17 PM
🍄 Our new living systematic review and meta-analysis on psilocybin for depression is out. Here's what we found and the open science infrastructure we built to support it 🧪🧵
www.medrxiv.org/content/10.1...
www.medrxiv.org/content/10.1...
Excited to share our systematic review and meta-analysis examining the potential benefit of symptom provocation in TMS for OCD and nicotine dependence. Thank you to everyone involved!
1. Our new @JAMAPsych publication shows that provoking symptoms before administering TMS for OCD and nicotine dependence may enhance clinical response. Read more here & tweetorial below: jamanetwork.com/journals/jam...
June 11, 2025 at 3:10 PM
Excited to share our systematic review and meta-analysis examining the potential benefit of symptom provocation in TMS for OCD and nicotine dependence. Thank you to everyone involved!
Reposted by Megan Jones
The problem with most machine-based random number generators is that they’re not TRULY random, so if you need genuine randomness it is sometimes necessary to link your code to an external random process like a physical noise source or the current rate of US tariffs on a given country.
April 9, 2025 at 7:15 PM
The problem with most machine-based random number generators is that they’re not TRULY random, so if you need genuine randomness it is sometimes necessary to link your code to an external random process like a physical noise source or the current rate of US tariffs on a given country.
Check out the RESI package for effect sizes! Details and examples in our new JSS paper 👇
Easily add effect sizes and confidence intervals with the RESI R package. Now official with a publication in JSS.
doi.org/10.18637/jss...
Check out the website (statimagcoll.github.io/RESI/) to report bugs or request model types.
@mntj21.bsky.social - first author, with @kaidikang.bsky.social
doi.org/10.18637/jss...
Check out the website (statimagcoll.github.io/RESI/) to report bugs or request model types.
@mntj21.bsky.social - first author, with @kaidikang.bsky.social
RESI: An R Package for Robust Effect Sizes by Megan Jones, Kaidi Kang, Simon Vandekar
<p>Effect size indices are useful parameters that quantify the strength of association and are unaffected by sample size. There are many available effect size parameters and estimators, but it is diff...
doi.org
April 1, 2025 at 3:36 PM
Check out the RESI package for effect sizes! Details and examples in our new JSS paper 👇