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X-No-archive: yes "Alex" in news:[EMAIL PROTECTED] : > Wolfgang wrote: > > "Alex" in news:[EMAIL PROTECTED] : > > > 3) HIV Screening in a Military Blood Transfusion Centers > > > This is Italian data from the general population (blood donors). > > > http://www.certi.org/CMA/newsletter/v03n01.pdf > > > > > > Table II > > > > > > Number of dontations: 25,562 > > > Number of blood donations ELISA positive: 31 > > > Number of blood donations after confirmation test: 2 > > > > > > This means that of 25,562 people tested with a single ELISA, > > > 31 tested positive, and after further testing, only 2 *remained* > > > positive. > > > This means that in the field, ELISA had a ppv (positive predictive > > > value) of 2/31 or 6.45%. > > > > This means that there are (31 - 2) / 25,562 = 0.11% false > > positives. > > > > Only 2 / 25,562 = 0.008% turned out to be HIV+. > > > > It IS relevant whether <0.008%> or <0.008% + 0.11%>, but it is > > totally irrelevant whether <around 20%> or <around 20% + 0.11%>. > The question has always been how many of the people > who test positive on their first ELISA remain positive after > further testing. > > The reason this is relevant, is because the "30%" number > you go on to quote, is based on these single ELISAs. > > So it is irrelevant that the majority of the population in Italy > doesn't test positive on ELISA. What is important is that > 93.55% who do, DO NOT REMAIN POSITIVE AFTER > FURTHER TESTING. No, your figure of 93.55% is a completely meaningless number. Let us test again the 25,560 Italians who are HIV-negative. We will again get around 30 false positives. So we could get for instance this result: Number of dontations: 25,560 Number of blood donations ELISA positive: 29 (or 25, or 33) Number of blood donations after confirmation test: 0 Percentage of non-confirmation: 29/29 = 100.0% In this case not a single person remains positive after further testing and your 93.55%-figure becomes 100%. If we add 1000 HIV+ persons to the above 25,560 HIV- negative persons, we get something like this: Number of dontations: 26,560 Number of blood donations ELISA positive: 1029 Number of blood donations after confirmation test: 1000 Percentage of non-confirmation: 29/1029 = 2.8% Your example actually is strong evidence for the contrary your are claiming, namely it is evidence for a very low percentage of false positives and therefore for the high quality of such tests (at least in Italy): 25,531 out of 25,560, i.e. 99.98% have not resulted in false positives! Cheers, Wolfgang Why do "skeptics" believe in disinformation? (was: AIDS Claims 650,000 in Zambia in 1996-1999): http://groups.google.com/[EMAIL PROTECTED]
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