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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.
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]
the size of a fetal red blood cell is 1.22 times that of an adult red blood cell; the KB stain is known to have a mean success rate of 92% in detecting fetal red blood cells; in a woman at or near term in her pregnancy, the mean volume of maternal red blood cells is approximately 1800 ml; the mean fetal hematocrit is 50%; and
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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.
However, the test does have limitations. If the test is performed early during the first trimester there is a chance that it can yield false negative or positive results, and false positive results may cause unnecessary worry for prospective parents.
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