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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 ...
The control line of this pregnancy test is blank, making the test invalid. The control line on the left of this pregnancy test is visible, suggesting that the test result is valid. A pale purple line has also appeared on the right hand side (the test line) which clearly signifies that the subject is pregnant.
A NASA illustration of a lateral flow assay. A lateral flow test (LFT), [1] is an assay also known as a lateral flow immunochromatographic test (ICT), or rapid test.It is a simple device intended to detect the presence of a target substance in a liquid sample without the need for specialized and costly equipment.
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.
If COVID-19 transmission levels are high in your area, if you know you were exposed to someone with the infection or if you have noticeable symptoms, those are all good reasons to interpret a ...
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
A likelihood ratio of greater than 1 for a test in a population indicates that a positive test result is evidence that a condition is present. If the likelihood ratio for a test in a population is not clearly better than one, the test will not provide good evidence: the post-test probability will not be meaningfully different from the pretest ...
A positive result in a test with high specificity can be useful for "ruling in" disease, since the test rarely gives positive results in healthy patients. [5] A test with 100% specificity will recognize all patients without the disease by testing negative, so a positive test result would definitively rule in the presence of the disease. However ...
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