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  2. 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.

  3. Unipath - Wikipedia

    en.wikipedia.org/wiki/Unipath

    Unipath continued to make improvements to its fertility-related products over the years, improving their convenience and reliability of use. Refinements included a urine collector strip on their Clearblue pregnancy test that turns pink to indicate proper urine absorption, thus reducing the chance of a false-negative test by improper use.

  4. Pregnancy test - Wikipedia

    en.wikipedia.org/wiki/Pregnancy_test

    False negative readings can occur when testing is done too early. hCG levels rise rapidly in early pregnancy and the chances of false negative test results diminish with time (increasing gestational age). [24] Less sensitive urine tests and qualitative blood tests may not detect pregnancy until three or four days after implantation. [25]

  5. New Clearblue Advanced Pregnancy Test with Weeks Estimator ...

    www.aol.com/news/2013-05-06-new-clearblue...

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  6. New Clearblue Advanced Digital Ovulation Test with ... - AOL

    www.aol.com/news/2013-04-09-new-clearblue...

    New Clearblue Advanced Digital Ovulation Test with Breakthrough Technology to Help Women Get Pregnant Faster Naturally New test expands the baby-making window by identifying 4 best days to get ...

  7. Clearblue - Wikipedia

    en.wikipedia.org/wiki/Clearblue

    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] The test was a three-step process ...

  8. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. [1] Type I error: an innocent person may be convicted. Type II error: a guilty person may be not convicted.

  9. 20 year old on how she finally accepted that she wasn't ...

    www.aol.com/article/news/2017/02/06/20-year-old...

    And, she explains why she didn't believe the ultrasound results showing no pregnancy during her first appearance. WATCH: 20-Year-Old Who Claimed She Was Pregnant With Baby Jesus On Time In ...

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