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  2. Pregnancy test - Wikipedia

    en.wikipedia.org/wiki/Pregnancy_test

    A systematic review published in 1998 showed that home pregnancy test kits, when used by experienced technicians, are almost as accurate as professional laboratory testing (97.4%). When used by consumers, however, the accuracy fell to 75%: the review authors noted that many users misunderstood or failed to follow the instructions included in ...

  3. *This* Is The Best Time Of Day To Take A Pregnancy Test For ...

    www.aol.com/best-time-day-pregnancy-test...

    In general, it's best to wait until you've missed your period, and to take the test first thing in the morning. Learn how timing impacts accuracy from experts.

  4. Obstetric ultrasonography - Wikipedia

    en.wikipedia.org/wiki/Obstetric_ultrasonography

    The accuracy is relatively imprecise when attempted early. [15] [16] [17] After 13 weeks' gestation, a high accuracy of between 99% and 100% is possible if the fetus does not display intersex external characteristics. [18] The following is accuracy data from two hospitals:

  5. Obstetrics - Wikipedia

    en.wikipedia.org/wiki/Obstetrics

    It gives an accurate risk profile very early. A second blood screen at 15 to 20 weeks refines the risk more accurately. [13] The cost is higher than an "AFP-quad" screen due to the ultrasound and second blood test, but it is quoted to have a 93% pick up rate as opposed to 88% for the standard AFP/QS.

  6. Rabbit test - Wikipedia

    en.wikipedia.org/wiki/Rabbit_test

    The rabbit test became a widely used bioassay (animal-based test) to test for pregnancy. The term "rabbit test" was first recorded in 1949, and was the origin of a common euphemism, "the rabbit died", for a positive pregnancy test. [4] The phrase was, in fact, based on a common misconception about the test.

  7. 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.