Hi, I've been having some trouble lately trying to figure out what the thresholding probabilities mean
exactly. From what I understand(2 mask model) if when threshholding you have use a min of 10000
and a max of 20000 that would result in a probability of 50% but this is a relative probability because
you could set the maximum higher or minimum lower. Is there anyway to get a sort of normalized
probability? I ask this because I want to compare between subjects, and believe I could just set all the
subjects probability distributions to the same min and max but in that case how would i determine
what min and max value to set because 1/2 is different then 10000/20000 even though they would
yield the same relative probability. Thanks.
-Ravi
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