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• W2109609078 abstract "Euclidean distance matrix analysis (EDMA) differs from most other morphometric methods for the analysis of landmark coordinate data in that it is coordinate-system invariant. However, strict adherence to coordinate-system invariance (for both biological and statistical reasons) introduces some difficulty in using graphic aids for the analysis and interpretation of EDMA results. We present a simple and effective graphic method to help localize important differences in form, growth, or shape by identifying influential landmarks. Examples are presented using simulated data and real data involving both children with craniofacial dysmorphologies and sexual dimorphism in adult Macaca fascicularis." @default.
• W2109609078 created "2016-06-24" @default.
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• W2109609078 date "1998-11-01" @default.
• W2109609078 modified "2023-09-28" @default.
• W2109609078 title "A simple method for visualization of influential landmarks when using euclidean distance matrix analysis" @default.
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• W2109609078 doi "https://doi.org/10.1002/(sici)1096-8644(199811)107:3<273::aid-ajpa4>3.0.co;2-1" @default.
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