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mntj21.bsky.social
Megan Jones
@mntj21.bsky.social
49 followers 80 following 2 posts
Biostats PhD Candidate Vanderbilt
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Reposted by Megan Jones
parkersingleton.bsky.social
Parker Singleton @parkersingleton.bsky.social · Aug 18
🍄 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...
SYPRES (Synthesis of Psychedelic Research Studies) logo
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mntj21.bsky.social
Megan Jones @mntj21.bsky.social · Jun 11
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!
heatherwardmd.bsky.social
Heather Burrell Ward, MD @heatherwardmd.bsky.social · Jun 9
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...
Reposted by Megan Jones
astrokatie.com
Katie Mack @astrokatie.com · Apr 9
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.
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mntj21.bsky.social
Megan Jones @mntj21.bsky.social · Apr 1
Check out the RESI package for effect sizes! Details and examples in our new JSS paper 👇
vandyatvandy.bsky.social
Simon Vandekar @vandyatvandy.bsky.social · Apr 1
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
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
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