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

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

    How accurate are home pregnancy tests? Every test is slightly different and the time you take it matters, too, Dr. Greves says. Many tests claim to be 99% accurate, but research from the ...

  3. 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 ...

  4. Clearblue - Wikipedia

    en.wikipedia.org/wiki/Clearblue

    Clearblue home pregnancy test system 1985. Clearblue was introduced in 1985 with the launch of the first Clearblue Home Pregnancy Test system, which at the time was owned by Unilever. [4] It was the world’s first “rapid home test” that gave pregnancy test results in 30 minutes and allowed a woman to take a test before going to the doctor. [4]

  5. Prenatal testing - Wikipedia

    en.wikipedia.org/wiki/Prenatal_testing

    The results of the blood test are then combined with the NT ultrasound measurements, maternal age, and gestational age of the fetus to yield a risk score for Down syndrome, trisomy 18, and trisomy 13. First Trimester Combined Test has a sensitivity (i.e. detection rate for abnormalities) of 82–87% and a false-positive rate of around 5%. [73] [74]

  6. Bravo star Lindsay Hubbard defends ‘monetizing’ her pregnancy ...

    www.aol.com/news/bravo-star-lindsay-hubbard...

    The post, shared with her 700,000 Instagram followers, featured Hubbard posing with a Clearblue Digital Early Pregnancy Test, which she confirmed was the same brand she used in April when she ...

  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.

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