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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Analysis of family-wise error rates in statistical parametric mapping using random field theory · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1606.08199/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1606.08199/feed.xml" rel="self" type="application/rss+xml" /><item><title>Analysis of family-wise error rates in statistical parametric mapping using random field theory — mentioned by UVDMAS</title><link>https://news.ycombinator.com/item?id=12035749</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.08199:12035749</guid><pubDate>Tue, 05 Jul 2016 11:52:34 GMT</pubDate><description>&lt;p&gt;The paper has been rebutted by other researchers who argue that the original results hold: &amp;quot;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…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.08199/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.AP</category></item><item><title>Analysis of family-wise error rates in statistical parametric mapping using random field theory — mentioned by _delirium</title><link>https://news.ycombinator.com/item?id=12032830</link><guid isPermaLink="false">urn:hackerpapers:mention:1606.08199:12032830</guid><pubDate>Mon, 04 Jul 2016 20:28:52 GMT</pubDate><description>&lt;p&gt;Fwiw there&amp;#x27;s a response to an earlier (preprint) version of that paper from some of the developers of the packages in question. Preprint version of the &amp;quot;Cluster failure&amp;quot; paper, from last year: http://arxiv.org/abs/1511.01863 Response: http://arxiv.org/abs/1606.08199&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1606.08199/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.AP</category></item></channel></rss>
