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  2. Fertility awareness - Wikipedia

    en.wikipedia.org/wiki/Fertility_awareness

    A positive ovulation predictor kit result is usually followed by ovulation within 12–36 hours. Saliva microscopes, when correctly used, can detect ferning structures in the saliva that precede ovulation. Ferning is usually detected beginning three days before ovulation, and continuing until ovulation has occurred. During this window, ferning ...

  3. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.

  4. Positive and negative predictive values - Wikipedia

    en.wikipedia.org/wiki/Positive_and_negative...

    The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.

  5. Anovulation - Wikipedia

    en.wikipedia.org/wiki/Anovulation

    For some women, these devices do not detect the LH surge, or high levels of LH are a poor predictor of ovulation; this is particularly common in women with PCOS. In such cases, OPKs and those fertility monitors which are based on LH may show false results, with an increased number of false positives or false negatives. Dr.

  6. Period-Tracking Apps Aren't The Most Foolproof Way To Track ...

    www.aol.com/lifestyle/period-tracking-apps-arent...

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  7. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    The true positive in this figure is 6, and false negatives of 0 (because all positive condition is correctly predicted as positive). Therefore, the sensitivity is 100% (from 6 / (6 + 0) ). This situation is also illustrated in the previous figure where the dotted line is at position A (the left-hand side is predicted as negative by the model ...

  8. What Really Causes a False Positive COVID-19 Test? Experts ...

    www.aol.com/false-positive-covid-19-test...

    “True” and “false” refer to the accuracy of the test, while “positive” and “negative” refer to the outcome you receive, says Geoffrey Baird, M.D., Ph.D., professor and chair of the ...

  9. Should You Use an Expired COVID Test? The Answer Might ... - AOL

    www.aol.com/lifestyle/expired-covid-tests-still...

    “It’s more likely that you’d get a false negative,” he says. Alan agrees. “The test might be negative because the reagents or ‘ingredients’ are past their shelf life and are not ...

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