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To assess overall model fit, the model was internally validated, using a cross-validation methodology.
The model in each condition was validated using a leave-one-out cross-validation routine.
The results were validated using a standard leave-one-out cross-validation approach.
All model results were validated using a set of diagnostic metrics and visualized.
Then, the approach and models were validated using a clinical trial data set.
The data acquisition and processing methods were validated using a 1-cm diameter rotational scattering phantom.
(1) Sonomicrometery and electroneurography measurement systems were validated using a servo-based muscle tensioning system.
Two of these novel r5′UTRs were experimentally validated using a GFP reporter-based approach.
Findings should be further validated using a driving simulation study.
The procedure was validated using a certified reference material.
These results are experimentally validated using a robotic head.
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