true positive

Therefore, the number of true positives increase and false negatives decrease.

The remaining 21 to 34 abnormal screens will be true positives, indicating breast cancer.

They note that in any test procedure less accurate than the Army's, the ratio of false to true positives rises alarmingly.

Based on the consistency and the rate of independent confirmation, many of the genes listed in the tables are likely to be true positives.

However, that approach assumes independence of categories and is so conservative that it becomes extremely hard to detect true positives.

He argued that the categorization of true positives and false positives should be re-examined.

Using a cutoff score of 0.05, about 61% of the related documents will be accepted; these documents are true positives.

Taking the medical example from above (20 true positives, 10 false negatives, and 2030 total patients), the positive pre-test probability is calculated as:

They are called true positives (TP).

True positives are applied those thought to succeed on the job as a result of having passed the selection test and who have, in fact, performed satisfactorily.

That is, the accuracy is the proportion of true results (both true positives and true negatives) in the population.

Even an accurate test that produces a low rate of "false positives" will be inaccurate when applied to populations containing few "true positives."

The actuarial cumulative biopsy rate (the rate of true positives) due to mammographic findings was approximately 1 in 4 (23.6%).

If the observed quantiles are markedly more dispersed than the normal quantiles, this suggests that some of the significant results may be true positives.

In statistics and diagnostic testing, the positive predictive value, or precision rate is the proportion of positive test results that are true positives (such as correct diagnoses).

Thus, the number of true positives, false negatives, true negatives, and false positives add up to 100% of the set.

Since the index is directly proportional to the number of true positives, a higher index means greater similarity between the two clusterings used to determine the index.

However, a test with high sensitivity can be considered as a reliable indicator when its result is negative, since it rarely misses true positives among those who are actually positive.

By retesting positive samples with the Western blot test or some other confirmatory test, almost all false positive results are eliminated, while true positives are retained.

Hogue, C et al. estimated that 45% of predictions that were not observed in the PDB data do in fact represent true positives.

Although some of these searches converged prematurely, they consistently recovered true positives detected in the other searches with at least borderline statistical significance (e approximately 0.05-0.01).

This is due to the lower sensitivity (less ability to detect true positives) of the antigen-detection test when compared to RT-PCR assays.

Treatment of insignificant cancers (overdiagnosis, true positives) can result in breast deformity, lymphedema, thromboembolic events, new cancers, or chemotherapy-induced toxicities.

If the observed number of positives is substantially greater than what should be expected, this suggests that there are likely to be some true positives among the significant results.