Hello All, I recently reviewed a paper in which the authors were analyzing artifact shapes using landmarks-based geometric morphometrics. They performed a DFA and permutted the data 1000 times. They then modified the critical values before comparing the results using a correction to control for false discovery rate.The formula is in:
Benjamini Y, Yekutieli D (2001) The control of the false discovery rate in multiple testing under dependancy. Ann Stat 29:1165–1188. I've not seen this used before and was wondering if it is appropriate in DFA's for morphometric data. I've been evaluating the effectiveness of a DFA using bootstrapping and a misallocation table and not relying on the p-values. Thanks for any input. Dave [email protected] -- MORPHMET may be accessed via its webpage at http://www.morphometrics.org To unsubscribe from this group and stop receiving emails from it, send an email to [email protected].
