  This technical report revisits the analysis of family-wise error rates in
statistical parametric mapping - using random field theory - reported in
(Eklund et al., 2015). Contrary to the understandable spin that these sorts of
analyses attract, a review of their results suggests that they endorse the use
of parametric assumptions - and random field theory - in the analysis of
functional neuroimaging data. We briefly rehearse the advantages parametric
analyses offer over nonparametric alternatives and then unpack the implications
of (Eklund et al., 2015) for parametric procedures.
