Examples of 'predictive values' in a sentence
Meaning of "predictive values"
predictive values: Refers to the ability to forecast or estimate future outcomes based on current data or trends. It is commonly used in statistics, data analysis, and forecasting models
How to use "predictive values" in a sentence
Basic
Advanced
predictive values
The predictive values were analyzed by logistic regression.
Positive and negative predictive values.
The predictive values were analyzed using a multivariate logistic regression.
It is another way to calculate predictive values.
Negative predictive values were calculated.
Triglyceride levels had the highest negative predictive values.
Calculate the predictive values for the different tests characteristics.
This ability is described by the predictive values of the test.
Calculate the predictive values for the different prevalence levels.
These questions also showed the highest positive predictive values.
Positive predictive values may be low even when specificity is high.
The condition is that the tests have in themselves similar predictive values.
Predictive values take into consideration the prevalence of the disease.
These requirements may also be defined in terms of positive or negative predictive values.
The positive predictive values and negative predictive values were also determined.
See also
These findings are consistent with the low negative predictive values of these clinical variables.
The predictive values are influenced by the prevalence of the event in the study population.
Specificity and positive and negative predictive values were similar for both tests.
Evaluating the performance of a binary diagnostic test are the positive and negative predictive values.
All examples provide strong predictive values in relation to the risk of developing hypoxemia.
Predictive values ( positive and negative ) reflect the characteristics of a test.
In the graph the positive and negative predictive values are plotted against disease prevalence.
The predictive values of biomarkers and clinical variables were assessed with Cox regression models.
This parameter has among the highest positive predictive values when various studies are compared.
In addition, predictive values change over time in a determined population.
Sensitivity, specificity, and positive and negative predictive values were calculated.
Estimates of predictive values indicate that ELISA for detecting IgG.
The sensitivity, specificity and positive and negative predictive values fo.
How can the predictive values of a test be increased?
Information regarding sensitivity and specificity, positive and negative predictive values are presented.
Table 4shows the predictive values and likelihood ratios.
Three studies provided sensitivity, specificity, accuracy and positive and negative predictive values.
Accordingly, predictive values using the herein described parameters can be obtained.
Analysis of sensitivity, specificity, positive and negative predictive values of the noninvasive diagnostic tests.
Sensitivity, specificity, predictive values and likelihood ratios were calculated for the various response expressions.
But the specificity is very low ; likewise the positive and negative predictive values.
What happened to the predictive values of the test when the specificity increased?
Proportions of results, Positive and negative predictive values.
However, the protocols and predictive values are not well established in the literature.
O The ability of a measurement to be consistently reproduced. predictive values.
The specificity and positive predictive values were high for both criteria greater than 93.
Blakely & Salmond and Zigmond et al studies showed the highest positive predictive values.
Indicators sensibility, specificity and predictive values with respect to the presence of pathogens were calculated.
Sensitivity, specificity, positive and negative predictive values.
Sometimes you see very high predictive values, positive and negative predictive values.
Cut-off points, sensitivity, specificity, and positive and negative predictive values were calculated.
Sensitivities, specificities, positive predictive values and negative predictive values were calculated from cross-tabulations.
Association between the methods was evaluated using sensitivity, specificity, accuracy, and predictive values.
Positive predictive values were generally low, with the exception of BMI.
The sensitivity, specificity and positive and negative predictive values are presented in the Table.
You'll also be interested in:
Examples of using Predictive
Show more
It generates very powerful predictive statistical relationships
Predictive capacity of the bcop test method
I finally perfected my predictive analytic probability theory
Examples of using Values
Show more
The measured values shall be plotted on a graph
Date and time revert to default values
Carrying values and estimated fair values
