MV - Results (BIG ONE)

Mean

Mean - The average, calculated by summing all measured values and dividing by the total number of values.

Min. Samples

Min. Samples - The minimum number of samples required by the acceptance criteria for the experiment to pass.

Min. Agreement

Min. Agreement - The minimum percentage of agreement required between the test results and the reference results from the acceptance criteria for the experiment to pass.

True Pos (TP)

True Pos (TP) - The number of true positive results where the test correctly detected the substrate when compared to the reference method.

True Neg (TN)

True Neg (TN) - The number of true negative results where the test correctly identified the absence of the substrate when compared to the reference method.

False Pos (FP)

False Pos (FP) - The number of false positive results where the test incorrectly detected the presence of the substrate when compared to the reference method.

False Neg (FN)

False Neg (FN) - The number of false negative results where the test incorrectly missed the presence of the substrate when compared to the reference method.

Positive Predictive Value (PPV)

Positive Predictive Value (PPV) - The proportion of positive test results that are true positives.

PPV=TPTP+FP×100%\text{PPV} = \frac{\text{TP}}{\text{TP} + \text{FP}} \times 100\%

Negative Predictive Value (NPV)

Negative Predictive Value (NPV) - The proportion of negative test results that are true negatives.

NPV=TNTN+FN×100%\text{NPV} = \frac{\text{TN}}{\text{TN} + \text{FN}} \times 100\%

Sensitivity

Sensitivity: The ability of the test to correctly identify true positives.

Sensitivity=TPTP+FN×100%\text{Sensitivity} = \frac{\text{TP}}{\text{TP} + \text{FN}} \times 100\%

Specificity

Specificity - The ability of the test to correctly identify true negatives.

Specificity=TNTN+FP×100%\text{Specificity} = \frac{\text{TN}}{\text{TN} + \text{FP}} \times 100\%

Samples

Samples - The number of eligible samples tested. In the results bar, the color will turn green when the number of samples has satisfied the Min. Samples acceptance criteria to indicate it has passed.

Agreement

Agreement - The proportion (%) of test results that match the reference results. In the results bar, the color will be green and be considered passed when it satisfies the Min. Agreement or Min. Between-Day Agreement acceptance criteria.

Coefficient of Variation (CV)

Coefficient of Variation (CV) - The ratio of the Standard Deviation of the Mean, often expressed as a percentage. It provides a relative comparison of the Standard Deviation independent of the size of the value.

Low Diff

Low Diff - The difference between the first low concentration result following the high concentration samples and the the last low concentration sample.

Results

Results - The total number of measurements collected. This value will be yellow if it doesn’t satisfy the requirements of the acceptance criteria and green when it passes.

Sample Coefficient

Sample Coefficient - This value show the regression type set in the experiment settings. The value will be red or green depending on if the results satisfy the requirements.

Standard Deviation (σ or StdDev)

Standard Deviation (σ or StdDev) - The statistical measure of the amount of variation from the mean.

Slope

Slope - Slope equation calculated by Passing Bablok.

Regression Options

Options: Deming Variance Ratio (vr), Passing Bablok Correlation Coefficient (r), Spearman Rank Correlation Coefficient (p), Sample , Correlation Coefficient (R), Pearson Correlation Coefficient (r) or R-squared (R²) Coefficient

Error Index (Ei)

Error Index (Ei) - Proportion of the Bias to the Error Allowance. An Error Index must be between -1 and 1 to be considered in agreement. The Ei column will determine if agreement exists and is color coded to indicate agreement.

⚠️

A TEa / Allowable Error value must be set for an Error Index to be calculated

Bias

Bias - The difference between the actual value and the reference value for calculating agreement.

Bias=Actual−Reference\text{Bias} = {\text{Actual} - \text{Reference}}

Bias %

Bias % - The % difference between the actual value and the reference value for calculating agreement.

%Bias=Actual−ReferenceReference×100\text{\%Bias} = \frac{\text{Actual} - \text{Reference}}{\text{Reference}} \times 100