jeanette-mumford
- Our new paper is out! It offers a tool to assess collinearity impact on contrast estimates *and* uses simulations + MID data to show how common collinearity avoidance strategies can bias results. Huge thanks to @russpoldrack.org , M Demidenko, and the ABCD folks. 🔗 direct.mit.edu/imag/article...
- Also, although I may have not felt this way initially 😅, the reviewer feedback was really great on this one. So thanks to the reviewers as well.
- Do you ever wish you could just use python to pull together the files and code for running FSL's randomise? Me too! I made this: github.com/jmumford/ran... It will even replace the numbers in the file outputs with contrast names of your choosing (and replace corrp with 1minusp).
- Interested in practical tips for assessing collinearity and why common fixes might not help? Come to the #OHBM2025 oral session Friday at 11:30AM (P2)! I’ll share simulation results and @demidenko.bsky.social will present real data. Also, check out my poster Thursday (1051)!
- Reposted by jeanette-mumfordchng.it/gmWgmwwz6n The Open Science Room needs your help!
- Reposted by jeanette-mumford
[This post could not be retrieved] - Reposted by jeanette-mumfordFollowing a lot of hard work and dedicated effort from countless parties, our textbook providing a hands-on introduction to analyzing network data is now available for pre-order from Cambridge University Press www.cambridge.org/core/books/h...
