@Brad_Buchsbaum How about using transparent thresholding? https://t.co/A1uEIosMHN That provides a nice balance, shows more information, hides less, and is free of charge statistically. It helps with interpretation for both the group analyzing data and the
@BrainStatsSam @gangchen6 @mandyfmejia Thanks @BrainStatsSam. And here is the full paper if people are interested: https://t.co/p3LT7LTYrh Primarily, NARPS actually provides a cautionary tale about thresholding practices and meta-analyses that make simila
RT @Pipoly_Science: This is cool 😎🤟
RT @ten_photos: The latest version of FSLeyes https://t.co/Wk5XmBqUPi makes it easier to view effect sizes modulated by statistical signifi…