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We examine threshold points using threshold vector autoregressive (TVAR) model by assuming the presence of nonlinearity.
A handful of studies conducted in populations with low prevalence of overweight and obesity did not examine threshold effects at low levels of adiposity.
Where the dose effect was significant in linear regression models, post hoc pairwise comparisons were used to examine threshold effects (that is, whether specific increments contributed to QT prolongation).
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ROC curve analyses were used to examine thresholds based on optimizing sensitivity and specificity.
This paper examines thresholds of sand movement, intermittency and the relationship between fluctuating winds and transport intensity based on high frequency measurements of wind speed and saltation.
In one experiment, Tripathy and Barrett [7] examined thresholds for path deviation of a single dot and observed thresholds of approximately 2°, provided dot velocity was high.
However, in additional analyses we also examined thresholds of <60 and <30 mL/min per 1.73 m.
We examined thresholds for which it remained practical to run experiments, which was as low as α=1×10−5.
Our study builds on previous studies that examined timing and effectiveness of initiation of nonpharmaceutical pandemic mitigation measures by examining thresholds for rescinding them.
To examine the threshold effect or the difference derived from the use of different cutoffs or thresholds, we computed the Spearman correlation coefficient.
To examine the threshold of virtual endoscopy in the confirmation of superior semicircular canal dehiscence (SSCD).
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