Timeline for What blood tests are worth doing for a healthy 30-year-old male?
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| Mar 10, 2016 at 23:21 | comment | added | Susan | Anyway, different issue : as I read the question, it's a practical one -- what has been shown to be helpful? This answer is about a theoretical model of how to determine this (though I would maintain that this is better done by way of empirical data..... the requisite "known statistics" in your model aren't known at all, and the risks of screening are yet another issue to be considered), but I don't think actually answers the OPs questions except by a couple guesses in the first paragraph. | |
| Mar 10, 2016 at 17:55 | comment | added | Count Iblis | @Susan I've rewritten the answer. One has to condition on the available information. What matters is that if this is repeated many times, the patients do better as judged by the chosen health criterion compared to any alternative choice for X. Omitting information used to condition the probabilities on (e.g. observations that the patient looks a bit overweight) can influence the health gains of the tests, but you are still going to find the optimal strategy given that you decide not to consider the weight of the patient. | |
| Mar 10, 2016 at 17:47 | history | edited | Count Iblis | CC BY-SA 3.0 |
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| Mar 10, 2016 at 8:54 | comment | added | Susan | IMO, this line of reasoning just doesn't work. First, your chosen conditions are whatever you thought of off the top of your head. More importantly, the principles of population screening are much more complicated and take into account whether identification of an abnormality is likely to improve outcomes, a question that requires careful study design and data analysis to account for lead-time bias, etc. The principles outlined in the landmark paper by Wilson and Jungner (1968) are further nuanced in newer studies, e.g. Harris, 2011. | |
| Mar 10, 2016 at 5:42 | history | answered | Count Iblis | CC BY-SA 3.0 |