Post History
#2: Post edited
by
DNB
·
2021-09-12T05:14:47Z (about 3 years ago)
The author, Karen Stewart [MA Natural Sciences (Univ. of Cambridge) PhD Veterinary Microbiology (Cambridge)](https://www.linkedin.com/in/karen-steward-89036a24/), refers to "a purple dashed line" in her original graph, but I don't see any PURPLE dashed line. Perhaps I need an eye exam! So I re-colored and annotated them. Which of the 3 lines did she mean?- >Where results are given on a sliding scale of values, rather than a definitive positive or negative, sensitivity and specificity values are especially important. They allow you to determine where to draw cut-offs for calling a result positive or negative, or maybe even suggest a grey area where a retest would be recommended. For example, **by putting the cutoff for a positive result at a very low level (purple dashed line) [embolding mine]**, you may capture all positive samples, and so the test is very sensitive. However, this may mean many samples that are actually negative could be regarded as positive, and so the test would be deemed to have poor specificity. Finding a balance is therefore vital for an effective and usable test.
- >
- The author, Karen Stewart [MA Natural Sciences (Univ. of Cambridge) PhD Veterinary Microbiology (Cambridge)](https://www.linkedin.com/in/karen-steward-89036a24/), refers to "a purple dashed line" in [her original graph, but I don't see any PURPLE dashed line](https://www.technologynetworks.com/analysis/articles/sensitivity-vs-specificity-318222). Perhaps I need an eye exam! So I re-colored and annotated them. Which of the 3 lines did she mean?
- >Where results are given on a sliding scale of values, rather than a definitive positive or negative, sensitivity and specificity values are especially important. They allow you to determine where to draw cut-offs for calling a result positive or negative, or maybe even suggest a grey area where a retest would be recommended. For example, **by putting the cutoff for a positive result at a very low level (purple dashed line) [embolding mine]**, you may capture all positive samples, and so the test is very sensitive. However, this may mean many samples that are actually negative could be regarded as positive, and so the test would be deemed to have poor specificity. Finding a balance is therefore vital for an effective and usable test.
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#1: Initial revision
by
DNB
·
2021-08-09T23:44:39Z (over 3 years ago)
Which vertical line signifies "putting the cutoff for a positive result at a very low level"?
The author, Karen Stewart [MA Natural Sciences (Univ. of Cambridge) PhD Veterinary Microbiology (Cambridge)](https://www.linkedin.com/in/karen-steward-89036a24/), refers to "a purple dashed line" in her original graph, but I don't see any PURPLE dashed line. Perhaps I need an eye exam! So I re-colored and annotated them. Which of the 3 lines did she mean? >Where results are given on a sliding scale of values, rather than a definitive positive or negative, sensitivity and specificity values are especially important. They allow you to determine where to draw cut-offs for calling a result positive or negative, or maybe even suggest a grey area where a retest would be recommended. For example, **by putting the cutoff for a positive result at a very low level (purple dashed line) [embolding mine]**, you may capture all positive samples, and so the test is very sensitive. However, this may mean many samples that are actually negative could be regarded as positive, and so the test would be deemed to have poor specificity. Finding a balance is therefore vital for an effective and usable test. >