https://www.na-mic.org/w/index.php?action=history&feed=atom&title=NA-MIC%2FProjects%2FStructural%2FShape_Analysis%2FShapeStatisticsWithPermTestCorrectionAndFDR 2026-04-09T13:46:32Z Revision history for this page on the wiki MediaWiki 1.33.0 https://www.na-mic.org/w/index.php?title=NA-MIC/Projects/Structural/Shape_Analysis/ShapeStatisticsWithPermTestCorrectionAndFDR&diff=4727&oldid=prev 2006-12-18T19:35:01Z

<p>Update from Wiki</p> <p><b>New page</b></p><div>== Testing Methods for Statistical Shape Analysis ==<br /> <br /> === Description ===<br /> <br /> 3 Main correction methods in local statistical shape analysis for the multiple comparison problem exists.<br /> <br /> # Bonferroni correction (simple, worst case, conservative)<br /> # Minimum statistic using Non-parametric permutation tests (less conservative than Bonferroni, full control of family wise error rate (FWER, Type I error, false positives), still pessimistic)<br /> # False Discovery Rate (FDR, control of false discovery rate, i.e. control of false positive in only those features that reject Null Hypothesis, less conservative)<br /> <br /> Currently the UNC shape analysis pipeline incorporates the permutation test based correction technique. This project will<br /> <br /> * extend the shape analysis pipeline to incorporate Bonferroni and FDR<br /> * change the current code to use the ITK statistics framework<br /> <br /> === Current Status ===<br /> <br /> * permutation tests are working<br /> * both bonferroni and FDR will be rather simple to implement, the bulk of work will be associated with transfering the code into the ITK framework<br /> * [[Image:2006_06_PW_StatAnal.ppt|Image:2006 06 PW StatAnal.ppt]]<br /> <br /> === Members ===<br /> <br /> * Martin Styner (UNC)</div>

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