Document 0316 DOCN M9550316 TI Studies of AIDS and HIV surveillance. Screening tests: can we get more by doing less? DT 9505 AU Tu XM; Litvak E; Pagano M; Department of Mathematics and Statistics, University of; Pittsburgh, PA 15240. SO Stat Med. 1994 Oct 15-30;13(19-20):1905-19. Unique Identifier : AIDSLINE MED/95148991 AB Estimating the prevalence of the human immunodeficiency virus (HIV) in a group is challenging; this is especially so when the prevalence is small. One reason is that the presence of measurement errors resulting from the limited precision of tests makes estimation, using traditional methods, impossible in some screening situations. Measurement error is real, ignoring it leads to severe bias, and inference about the prevalence becomes unsatisfactory. Indeed, in a low prevalence situation the expected number of false positives is very high, often even higher than the number of true positives. The second reason is that in the low prevalence areas the large sample is needed in order to obtain non-zero estimate. This is usually a very costly, and often unrealistic, solution. This paper considers the advantages and disadvantages of pooled testing as an alternative solution to this problem. We show that by pooling sera samples we not only achieve a cost saving but also, which is counterintuitive, an increase in the estimation accuracy. We also discuss the statistical issues associated with the resulting estimator. DE Acquired Immunodeficiency Syndrome/DIAGNOSIS/*EPIDEMIOLOGY Blood Specimen Collection/*STATISTICS & NUMER DATA Confidence Intervals Enzyme-Linked Immunosorbent Assay/METHODS/STATISTICS & NUMER DATA Human HIV Infections/DIAGNOSIS/*EPIDEMIOLOGY Likelihood Functions Models, Statistical Population Surveillance/*METHODS Prevalence Sample Size Selection Bias Sensitivity and Specificity Support, Non-U.S. Gov't Support, U.S. Gov't, P.H.S. JOURNAL ARTICLE SOURCE: National Library of Medicine. NOTICE: This material may be protected by Copyright Law (Title 17, U.S.Code).