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Stratification by ecosystem showed that the highest corrected prevalence was found in the lake and marshland region (3.8%).
However, the items Q12 (PDQ-8-2), Q31 (PDQ-8-5), Q35 (PDQ-8-6) and Q37 (PDQ-8-7) that correspond to the items of PDQ-8 represented the highest corrected correlation coefficients within their specific scales.
The item analysis of the ASES showed that item 6 (reaching a high shelf) had the highest corrected item correlation, whereas item 10 (doing usual sport) had the lowest corrected item correlation.
This SIQ-JR-4 kept 4 items with the highest corrected item-total correlations (r > 0.8 for all 4 items in the sample) among all 15 items in the SIQ-JR, namely item 2 (I thought about killing self), item 3 (I thought about how I would kill myself), item 4 (I thought about when I would kill myself), and item 11 (I wished I were dead).
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A model size with 20 records provides the highest correct percentage of 98.98% for the classification.
The figure also shows that the proposed Algorithm 2 achieves the highest correct detection probability.
In OT scene dataset, DTCTH achieves the highest correct classification rate (89.18%).
Swedish pupils scored the highest correct responses (89.4%), with children from Denmark, New Zealand, Australia, France, USA, Austria, Norway, England, Thailand, and Iceland all scoring over 80%.
A cut-point of 0.56 provided the highest correct classification rate of drivers and resulted in the following figures: (i) Sensitivity = 50%, (ii) Specificity = 97.92%, (iii) positive predictive value = 80%, negative predictive value = 92.16%, correct classification = 91.07%.
A cut-point of 0.4 provided the highest correct classification rate of drivers and resulted in the following figures: (i) Sensitivity = 62.5%, (ii) Specificity = 97.92%, (iii) positive predictive value = 83.33%, negative predictive value = 94%, correct classification = 92.86% (Table 6).
The item that had the highest correct self-reported practice was on the use of child safety seats (96.3%).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com