<div dir="ltr">Dear Jodie,<div><br></div><div>I assume you use statcond(data, &#39;method&#39;, &#39;bootstrap&#39;).</div><div>The bootstrap process is done by surrogdistrib(). It randomizes the indices for conditions to construct surrogate data (i.e. null hypothesis that the difference of the labels has no effect on data). Then it jumps to ttest_cell() to run a standard t-test to test on both real data difference and surrogate data difference separately to obtain t-values. Finally it runs stat_surrogate_pvals() using these data to determine the significant data point/pixel/voxel in a non-parametric way (i.e. counting from the end to determine X-percentile).</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Aug 13, 2015 at 5:31 AM, Jodie Feil <span dir="ltr">&lt;<a href="mailto:Jodie.Feil@weizmann.ac.il" target="_blank">Jodie.Feil@weizmann.ac.il</a>&gt;</span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">




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<div style="direction:ltr;font-family:Tahoma;color:#000000;font-size:10pt">Dear All,
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<div>I was wondering if you could tell me how the bootstrap statistical analysis works in the EEGLAB STUDY design?</div>
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<div>If I want to compare two groups (GO = 250 trials) vs (NOGO - 30 trials) across healthy controls and schizophrenia. I am interested in making sure that the differences between GO and NOGO within subjects is reliable. So I assumed to run the bootstrap statistical
 analysis (to account for the different number of trials). However, I can&#39;t seem to find documentation of what exactly the bootstrap statistical analysis is outputting. </div>
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<div>For example, when we applied the bootstrap statistic, we found a significance difference (p=0.01, bonferroni corrected) across a number of electrodes between the GO and NOGO conditions in healthy controls. </div>
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<div>I have looked through: <a href="https://sccn.ucsd.edu/svn/software/eeglab/functions/studyfunc/pop_statparams.m" target="_blank">https://sccn.ucsd.edu/svn/software/eeglab/functions/studyfunc/pop_statparams.m</a></div>
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<div>However, I would be happy if somebody could elaborate and further explain. </div>
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<div>Thank you</div>
<div>Jodie<br>
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<p class="MsoNormal" style="margin-bottom:0.0001pt;background-color:white"><font size="2"><span style="font-family:&#39;Times New Roman&#39;,serif;color:rgb(34,34,34)">---------------------</span><span style="font-family:Arial,sans-serif;color:rgb(34,34,34)"></span></font></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt;background-color:white"><font size="2"><span style="font-family:&#39;Times New Roman&#39;,serif;color:rgb(34,34,34)">Dr. Jodie Naim-Feil</span><span style="font-family:Arial,sans-serif;color:rgb(34,34,34)"></span></font></p>
<p class="MsoNormal" style="margin-bottom:0.0001pt;background-color:white"><font size="2"><span style="font-family:&#39;Times New Roman&#39;,serif;color:rgb(34,34,34)">Post-doctoral Fellow</span><span style="font-family:Arial,sans-serif;color:rgb(34,34,34)"></span></font></p>
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