Sentence examples for classification proportion from inspiring English sources

When only external validation data for the classification proportion estimates are available, it is difficult to know which of these estimates to use.

Instead, it is usually better to use the range of classification proportion values to parameterize a probability distribution (eg, triangular) or to use the range of values to conduct a multidimensional bias analysis.

This formula shows that the logs of the two correct classification proportions get weight 1 and the logs of the two incorrect classification proportions get weight -1.

These frequency distributions are dependent on our assumptions for the classification proportions and random error parameters.

Rather, we used the reported classification proportions to construct one composite probability distribution for each scenario.

We specified single-point values as scenarios for possible classification proportions.

Similarly, we combined the noncase classification proportions from Soegaard and colleagues 21 with case classification proportions from Verkooijen and colleagues 35 and Ziogas and Anton-Culver 36 for scenarios 5 and 6 (Table 2), respectively.

We were able to find external validation data to inform the values assigned to classification proportions in our sensitivity analyses.

Nonetheless, we know of no existing methodology that incorporates selection forces into the classification proportions for sensitivity analyses.

In contrast, in probabilistic sensitivity analysis, 5, 7, 11– 15 an investigator specifies probability distributions for the classification proportions.

Adjustment for misclassification may result in negative cell frequencies when certain combinations of observed data and classification proportions are used.