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Linear discriminant analyses (LDA) were performed with the landmark data of all Alpine endemics.
The landmark data of all crania and mandibles were superimposed using Generalized Procrustes analysis [ 42– 42].
However, when only the landmark data of the latter taxa (and the closely related O. tolminensis) are compared, the species form well-defined clusters.
The morphometric analysis was performed with the landmark data of the Alpine Orcula species (except for O. dolium) to evaluate the amount of morphological differentiation between the species and subspecies, respectively.
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Landmark data on the impact of hypoglycemia on adults with type 1 diabetes come from the Diabetes Control and Complications Trial (DCCT) and its follow-up study, where cognition has been systematically measured over time.
MorphoJ v1.04a software was used to carry out geometric morphometric analysis of landmark configurations [ 29]. 3D landmark data for each individual were imported without object symmetry to preserve facial asymmetry resulting from unilateral clefts.
Because the randomisation process in PRODIGY began one month after the index percutaneous coronary intervention, the availability of landmark data at 12 months allowed inclusion of the study in the short term versus 12 month comparison, after censoring events that occurred after 12 months and keeping the original randomisation design.
We performed geometric morphometric analysis of 3D landmark data registered from microCT (μCT) images of newborn (P0) skulls of Fgfr2 +/S252W and Fgfr2 +/P253R mouse models and assessed the pattern of fusion of five palatal sutures to precisely define differential palatal traits among Apert syndrome mouse models.
We collected three-dimensional (3D) landmark data about the crania of a wide range of extant placentals and marsupials, and from six fossil metatherians (the clade including extant marsupials and their stem relatives), using a laser scanner and a 3D digitizer.
Dissections, specimen photography, the establishment of spatial coordinates for anatomical landmarks, and Procrustes transformations of landmark data largely follow Cooper and Westneat [21].
Previous shape analysis of landmark data arising from a complex Bingham distribution involved frequentist statistical estimation, and Bayesian MAP estimation.
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