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Binary Test Errors
[By staff reporters]
In medical testing, and more generally in binary classification, a false positive is an error in data reporting in which a test result improperly indicates presence of a condition, such as a disease (the result is positive), when in reality it is not present, while a false negative is an error in which a test result improperly indicates no presence of a condition (the result is negative), when in reality it is present.
Assessment
These are the two kinds of errors in a binary test (and are contrasted with a correct result, either a true positive or a true negative.) They are also known in medicine as a false positive (respectively negative) diagnosis, and in statistical classification as a false positive (respectively negative) error.
A false positive is distinct from overdiagnosis, and is also different from overtesting.
Conclusion: Your thoughts are appreciated.
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Filed under: iMBA, Inc., Quality Initiatives | Tagged: false negative, false positive |
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CORONA VIRUS
CORONA FALSE NEGATIVE: http://www.msn.com/en-us/news/us/a-wuhan-evacuee-was-released-from-quarantine-in-texas-and-later-tested-positive-for-the-coronavirus/ar-BB10D4vL?li=BBnb7Kz
Dr. David E. Marcinko MBA
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Did Governor Cuomo DROP the BALL?
He advised home Corona Virus tests. Then stated if Negative may go to work.
Flat out WRONG and Dangerous!
False negatives are higher especially with home tests and early viral loads or infections during incubation period!
Dr. David E. Marcinko MBA
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[…] False Positives and Negatives: https://medicalexecutivepost.com/2019/09/14/what-are-false-positive-and-false-negative-tests/ […]
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