Sensitivity studies for quantitative assays: use of censored data analysis.

Autor: Weusten JJ; Department of Biomathematics, BioMérieux, Boxtel, The Netherlands., Wouters PA, van Zuijlen MC
Jazyk: angličtina
Zdroj: Statistics in medicine [Stat Med] 2003 Dec 15; Vol. 22 (23), pp. 3629-40.
DOI: 10.1002/sim.1584
Abstrakt: Probit regression analysis is frequently used to study the relation between the concentration of an analyte in a sample and the probability that the assay used yields a positive test result. For these analyses only the qualitative classification 'positive' or 'negative' is used, whereas, particularly in the case where the assay is quantitative in nature, the results contain more information. In the current paper, we propose an alternative method, in which the negative test results are treated as being (left) censored. As such, more efficient use is made of the information in the data. The procedures are illustrated using two generations of NucliSens assays (BioMérieux), which are designed to quantify the viral load of HIV-1 in blood samples. Computer simulations are used to illustrate some properties of the estimated parameters.
(Copyright 2003 John Wiley & Sons, Ltd.)
Databáze: MEDLINE
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