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  2. 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]

  3. Fertility awareness - Wikipedia

    en.wikipedia.org/wiki/Fertility_awareness

    Pregnancy tests are not accurate until 1–2 weeks after ovulation. Knowing an estimated date of ovulation can prevent a woman from getting false negative results due to testing too early. Also, 18 consecutive days of elevated temperatures means a woman is almost certainly pregnant. [61]

  4. 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.

  5. Fact check: Claim that pregnancy can be detected the day ...

    www.aol.com/fact-check-claim-pregnancy-detected...

    A pregnancy test detects the presence of the pregnancy hormone human chorionic gonadotropin in a person’s body. The body doesn’t produce that hormone until several days after conception.

  6. Couple documents how difficult negative test results can be ...

    www.aol.com/couple-documents-difficult-negative...

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  7. Amenorrhea - Wikipedia

    en.wikipedia.org/wiki/Amenorrhea

    A pregnancy test is a common first step for diagnosis. [50] Similar to primary amenorrhea, evaluation of secondary amenorrhea also begins with a pregnancy test, prolactin, FSH, LH, and TSH levels. [13] A pelvic ultrasound is also obtained. [13] Abnormal TSH should prompt a thyroid workup with a full thyroid function test panel. [13]

  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. Pregnant People Can Have a False Positive HIV Test ... - AOL

    www.aol.com/news/could-pregnancy-cause-false...

    Regular testing for HIV is part of pregnancy these days, which bumps up the chance you might get a false-positive result. Experts explain why that can happen. Pregnant People Can Have a False ...