@CyrilRPernet @benedikt_sun @BrainStatsSam @ten_photos @AGerlachPhD @sNeuroble @CyrilRPernet Yep, nice. We cite this in "Highlight, Don't Hide" (https://t.co/iXpSaWMZxE) and in our AFNI Academy Bootcamp recordings on the topic (https://t.co/uZ2zWRGtHb), al
@benedikt_sun @BrainStatsSam I mean, each figure we show in "Highlight, Don't Hide" (https://t.co/DXsyxj9vHR, and see appendix) of all teams' contributions to the NARPS paper shows this. The data speak volumes when you let it.
@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