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The livers of all animals were removed and assessed visually for signs of necrosis caused by migrating F. hepatica.
All data was assessed visually for normality.
The registration accuracy was assessed visually for each subject and the FreeSurfer segmentations were mapped into the PET space.
Interval variables were assessed visually for normal distribution and using the Kolmogorov-Smirnov test with a cutoff of 0.15.
The udder was palpated for soreness, swelling, hardness and temperature, and appearance of milk assessed visually for clots, colour changes and changes in consistency.
The serial cross-sections were processed for general histological staining with haematoxylin and eosin (HE) and assessed visually for the presence or absence of thrombus.
Images were assessed visually for quality control by a single observer who was blinded to the clinical impression and the histologic diagnosis.
Body weight and survival were monitored daily, and the animals were assessed visually for signs of clinical disease including inactivity, ruffled fur, labored respiration and huddling behavior.
We assessed visually for unusual spatial or temporal patterns in the distributions of the average estimated errors (estimated versus observed data).
The final model sets was then rerun using restricted maximum likelihood estimation and residuals were assessed visually for heteroscedasticity and normality.
Fitted curves (3rd, 50th, and 97th centiles) from different models were assessed visually for a good fit and by comparing the deviances from each model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com