I am not sure if this could help a bit, http://dx.doi.org/10.1016/j.neuroimage.2012.04.018,
'Ten ironic rules for non-statistical reviewers' by: Karl Friston Cheers, -Rawi >________________________________ > From: Gilles de Hollander <[email protected]> >To: pkg-exppsy-pymvpa <[email protected]> >Sent: Wednesday, March 27, 2013 1:35 PM >Subject: [pymvpa] Papers discussing relationship between scanning parameters >and MVPA performance? > > >Hi there, > > >I have been quite reading a bit about MVPA the past year, but found little >papers that focus on the very practical sides of MVPA. More specifically, I'm >looking for any literature that discusses the influence of different scanning >parameters, number of trials, number of participants and Signal-to-Noise >ratios on experimental power/classifier performance. Does anyone know such a >paper? > > >I have a paper in review right now and my reviewer says that we should have >looked into this. I think this sounds nice, but a bit naive: not thatmuch >studies have been done and researchers don't publish stuff that doesn't show >significant effects. Also, I guess the influence of all these parameters >covary heavily with the task and ROIs at hand. To say you need n subjects with >m trials, depending on the SNR by factor x is not really possible would be my >hunch. Or am I missing something here? I'm glad to hear your opinion about >this. > > >Thanks, >Gilles de Hollander >PhD candidate at the Cognitive Science Center Amsterdam >_______________________________________________ >Pkg-ExpPsy-PyMVPA mailing list >[email protected] >http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa > > _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
