Most human brain imaging experiments involve a number of subjects
that is unusually low by accepted statistical standards. Although
there are anumber of practical reasons for using small samples in
neuroimaging we need to face the question regarding whether
results obtained with only a fewsubjects will generalise to a
larger population. In this contribution we address this issue
using a Bayesian framework, derive confidence intervals forsmall
samples experiments, and discuss the issue of the prior.
Number of pages | 25 |
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Publication status | Published - 1998 |
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