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For each cartoon story sequenced correctly, subjects received 6 points (max. score 36 points).
A commonly given example is the "Moses illusion" (Erickson & Mattson, 1981): "How many animals of each sort did Moses put on the ark?" In an effort to answer the question correctly, subjects readily focus on the animals and miss the fact that an erroneous name was given, since it was actually Noah who carried out the animal kingdom rescue mission according to scriptures.
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We record the accuracy of the prediction calculated as the proportion of correctly classified subjects among all collected subjects.
In our case this means that we would classify correctly adherent subjects (true negative) because sensitivity is low and specificity is high.
Moreover, we found that a cutoff point of 14 optimizes sensitivity (the probability that the test correctly detects subjects with a poor prognosis of functioning) and specificity (the probability that the test correctly detects subjects with a good prognosis of functioning).
The multi-PNN structure classified correctly all subjects.
The ability to correctly identify subjects with a severe CAC score (sensitivity) was 50% to 60% for an IMT of the internal or common carotid artery >80th percentile (internal carotid IMT ≥1.9 mm and common carotid IMT ≥1.04 mm).
We next used multivariate analysis to attempt to correctly classify subjects into TB cases, TST+ or TST− household contacts (Table 1).
Such a reference standard is presumed to 100%% correctly classify subjects as diseased or not.
Ideally, a screening test should be able to classify correctly both subjects with and without the target disorder.
On the basis of the dental conditions only, the percentage of correctly predicted subjects with chewing problems was between 63.7 and 65.1%%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com