Hi list,
I have similar question. You said
the second-level combines your first-level parameter estimates and variance
estimates, which is preferable to concatenating the runs and will not harm your
ability to detect activation even though your first-level results may look poor.
I need to know the efficency after concatenating runs, for the first-level
results showed very poor efficiency. I am wondering How to estimate it
because we can not get it from the higher-level analysis results. Can I just
concatenate the time points of all the runs, then use GLM wizard to do some
simulation, and get the efficiency approximately? Will the efficiency be same
or similar as the efficiency we got from the methods you suggested to use
first-level analysis then higher-level analysis?
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