Re: [Faster-eeg-list] outlier analysis
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From: Robert W. <whe...@gm...> - 2010-11-16 14:44:54
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"> <html> <head> <meta content="text/html; charset=ISO-8859-1" http-equiv="Content-Type"> </head> <body bgcolor="#ffffff" text="#000000"> Hi Brian, <br> <br> My feeling would be to look for outliers separately in each group, as you would do for ERP peak analysis because amplitude range & variation may be different between groups. We have run FASTER on data from multiple sclerosis patients. The MS patients' data have low amplitude relative to controls. If MS and control data were mixed then an outlier in the MS groups (e.g., someone with a large amplitude range, relative to other MS patients) would not get detected because it would be masked by the control data.<br> <br> It is possible that some parameters, such as EOG data, would not differ across groups. In that case all data could be combined. However, that presupposes that EOG does not differ across groups (perhaps it could because of medication effects, etc.).<br> <br> I think the safer approach would be treat the groups as separate for the purposes of artifact rejection on a group level.<br> <br> All the best, <br> Rob<br> <br> On 15/11/2010 19:09, Brian Roach wrote: <blockquote cite="mid:4CE...@nc..." type="cite"> <meta http-equiv="content-type" content="text/html; charset=ISO-8859-1"> <font size="-1"><font face="Helvetica, Arial, sans-serif">Hi All,<br> <br> We're using FASTER to analyze data from control participants and patients with schizophrenia. We have two auditory N1 conditions. I read about the application of FASTER to mmn data from Parkinson's subjects. I am interested in recommendations for running the grand average outlier test in multi-condition, multi-group studies. Would you put all subjects and conditions in one test, run a separate test for each condition, or run separate tests for every condition and group? In a normal ERP peak analysis, we would look for outliers separately in each group, but in that case we expect group differences. With measures such as amplitude range, variance, and channel deviation, I don't really know what to expect yet. I am interested in what others think or have tried.<br> <br> Thanks,<br> Brian<br> </font></font> </blockquote> <br> <pre class="moz-signature" cols="72">-- Robert Whelan, PhD Senior Research Scientist Trinity Centre for Bioengineering Trinity College Dublin Department of Neurology St. Vincent's University Hospital Elm Park, Dublin 4 webpage: <a class="moz-txt-link-freetext" href="http://www.mee.tcd.ie/~neuraleng/People/Robert">http://www.mee.tcd.ie/~neuraleng/People/Robert</a> </pre> </body> </html> |