Timeline for Understanding Medical Testing
Current License: CC BY-SA 4.0
14 events
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Jul 16, 2020 at 22:29 | comment | added | gmatharu | @BruceET Thank you for the motivation, really appreciate it. Keep up the good work Sir! | |
Jul 15, 2020 at 16:44 | history | edited | BruceET | CC BY-SA 4.0 |
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Jul 15, 2020 at 12:57 | comment | added | cbeleites | @BruceET: "With some diseases physicians can easily identify a high proportion of infected subjects based on overt symptoms (without needing a test)" I'd say a physician judging symptoms is a test, certainly in the context of discussing statistics of medical testing. | |
Jul 15, 2020 at 6:52 | history | edited | BruceET | CC BY-SA 4.0 |
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Jul 14, 2020 at 21:48 | comment | added | BruceET | Don't give up. With some time to get familiar with a few specific applications of medical screening tests and careful attention to the implications of sensitivity and specificity, you can be among the (apparently small) fraction of professionals who understand the issues. Not impossible, just not immediately trivial. | |
Jul 14, 2020 at 20:55 | vote | accept | gmatharu | ||
Jul 14, 2020 at 20:55 | comment | added | gmatharu | Thank you very much, really appreciate it, although it seems a bit discouraging, but it makes me aware of the reality, how hard sometimes doing actual science is.I will accept your answer. Cheers! | |
Jul 14, 2020 at 20:49 | comment | added | BruceET | With some diseases physicians can easily identify a high proportion of infected subjects based on overt symptoms (without needing a test): chicken pox, whooping cough, mumps, measles, hepatitis. // If by 'simpler terms' you mean a trivial appeal to intuition, then you should probably abandon that quest. The interplay of conditional probabilities referring to distinct subpopulations makes this an inherently nonintuitive topic. // As widespread nonsensical declarations about Covid-19 have shown, even some health professionals lack reliable intuition on interpretation of medical screening tests. | |
Jul 14, 2020 at 20:36 | comment | added | gmatharu | Thank you for the detailed mathematics, it helps. As you mention, sometimes we estimate prevalence of a disease from test result, can you please explain in simpler terms that how do we estimate what proportion of the population will be infected without testing? It seems confusing as without testing we can't know who is infected and without knowing the proportion of infected population we can't measure how good a testing method is. | |
S Jul 13, 2020 at 19:32 | history | suggested | Josh Rumbut | CC BY-SA 4.0 |
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Jul 12, 2020 at 20:53 | review | Suggested edits | |||
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Jul 12, 2020 at 19:28 | history | edited | BruceET | CC BY-SA 4.0 |
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Jul 12, 2020 at 19:17 | history | edited | BruceET | CC BY-SA 4.0 |
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Jul 12, 2020 at 19:08 | history | answered | BruceET | CC BY-SA 4.0 |