Examples of using Negative predictive values in English and their translations into Portuguese
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Medicine
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Ecclesiastic
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The negative predictive values found confirm the superiority of self-measured when compared to clinic in identifying truly normotensive individuals.
Sensitivity, specificity, positive and negative predictive values of the noninvasive imaging tests,
specificity, accuracy, and positive and negative predictive values for vascular color Doppler ultrasound were calculated for differentiating hemodynamically significant stenosis> 60% from moderate stenoses and normal arteries, considering arteriography the gold standard.
High specificities and negative predictive values were observed for the PA indicators in leisure time
specificity coefficients, and positive and negative predictive values of the"X" sign
Those thresholds were also the ones to present the best possible negative predictive values, therefore answering the question as to the calcium score level that can be predictive of the absence of significant stenosis.
positive predictive values, and negative predictive values using McNemar's test.
The relatively low positive predictive values and the relatively high negative predictive values found corroborate the results of other studies
positive predictive values, and negative predictive values, area under ROC curve,
for detecting NAFLD were 89cm for men and 84cm for women with high negative predictive values for NAFLD.
positive predictive values above 65%, and negative predictive values above 66%; however,
However, in the present study, the negative predictive values were high both for detection of ganglions
The positive predictive value was calculated to assess the probability of a subject having the disease when tested positive, and the negative predictive values was calculated to assess the probability of a subject not having the disease when tested negative. .
this scheme presents higher sensitivity and negative predictive values.
positive and negative predictive values, accuracy and the kolmogorov-smirnov statistic.
The negative predictive value refers to individuals who did not have excess weight.
The sensitivity and negative predictive value were similar.
Specificity and negative predictive value were, however, elevated.
And, although the negative predictive value is high,
However the negative predictive value is above 90.