@Retlouping The meme is very wisely chosen. Grok correctly defines sensitivity, but is inconsistent in evaluating your definition and remains vague. How about this for the future: the ability of a test to detect the condition in confirmed cases.
@Retlouping Unfortunately, a simplification of the definition of sensitivity has become widespread that is incorrect and is being copied without verification.
@Retlouping Sensitivity is merely the positive rate among those affected. And without knowledge of the positive rate among those not affected, it is meaningless in terms of detecting conditions.
@Retlouping Thank you for your prompt response. And of course, illness and condition are not identical. But that is not the point. My concern is that it is not permissible to say that sensitivity is a measure for detecting an illness or a condition.
@Retlouping Thank you for your reply and the references. Perhaps I should be more specific: you write that sensitivity is the test's ability to detect the condition. That is incorrect. Sensitivity, to use the same terminology, is the test's ability to be positive in patients who are ill.
@Retlouping An elaborate review, which unfortunately was not carried out with the utmost methodological rigour. I miss the use of GRADE approach and prediction intervals. The results should be interpreted with great caution.
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@Retlouping For SP analog... I would like to underline the use of LHR as requested by you. There is hardly a more robust parameter for test interpretation. Many greetings
@Retlouping Hello David.I adore your tweets extraordinarily,but I have to disagree a bit with your definitions. SN is not the ability of a test to determine the target condition. Rather, it is the + proportion among all sufferers->the probability to show + result as a person with the disease