Examples of using Predictive values in English and their translations into Portuguese
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The predictive values were analyzed by logistic regression.
The positive and negative predictive values are 33% and 94%.
The predictive values were analyzed using a multivariate logistic regression.
Triglyceride levels had the highest negative predictive values.
Table 4shows the predictive values and likelihood ratios.
People also translate
Association between the methods was evaluated using sensitivity, specificity,accuracy, and predictive values.
Sensitivity, specialty, predictive values and accuracy were evaluated.
The tests used for stratification should present good accuracy and high positive and negative predictive values.
Positive and negative predictive values were 60.7% and 95.7%, respectively.
Information regarding sensitivity and specificity, positive and negative predictive values are presented.
The positive and negative predictive values and specificity remained above 80.
The predictive values depend on, among other factors, the prevalence of the disease in the population being evaluated.
The sensibility, specificity, and predictive values are shown in Table 3.
Positive predictive values may be low even when specificity is high.
Sensitivity, specificity, andpositive and negative predictive values were calculated.
The predictive values are influenced by the prevalence of the event in the study population.
These findings are consistent with the low negative predictive values of these clinical variables.
Negative predictive values were significant only for insulin, HOMA, and leptin.
The sensitivity, specificity andpositive and negative predictive values are presented in the Table.
Even though predictive values are useful in practice, they depend on the prevalence of the interesting result fail.
Sensitivity, specificity, positive and negative predictive values were 75.0%, 60.1%, 88.1%, and 81.8% respectively.
The expiratory pressure value observed at the first second of the plateau after the peak pressure of each maneuver was recorded and compared with the predictive values for the Brazilian population.
The specificity and positive predictive values were high for both criteria greater than 93.
In regards to the accuracy of the clinical indicators for diagnosis Willingness for improved development of breastfed infants, the evaluation of the predictive andsensitive values of the defining characteristics that were present in the diagnosis conducted herein can be generally inferred to have positive predictive values above 65% for the proposed nursing diagnosis.
Sensitivity, specificity, the predictive values of the negative and positive tests and the accuracy were calculated.
Therefore, considering there is no consensus concerning the use of predictive equations of respiratory strength, the objective of this study was to test the efficacy of the equations mentioned in literature, such as the ones established by Wilson et al., Domènech-Clar et al. and Schmidt et al.,by comparing and correlating their predictive values with values measured in a population of healthy children and adolescents.
The positive and negative predictive values of EPS for determining the requirement of ICD therapy were 34% and 88%.
To define the sensitivity, specificity,positive and negative predictive values of each of the noninvasive imaging tests.
Sensitivity, specificity, predictive values and likelihood ratios were calculated for the various response expressions.
In summary, the defining characteristics built were found to have positive predictive values above 65% for the nursing diagnosis proposed in this study.