title: Stochastic processes defining sensitivity and variability of internally calibrated quantitative NASBA-based viral load assays.
abstract: For quantitative assessment of virus particles in patient plasma samples various assays are commercially available. Typical performance characteristics for such assays are sensitivity, precision and the range of linearity. In order to assess these properties it is common practice to divide the range of inputs into subranges in order to apply different statistical models to evaluate these properties separately. We developed a general statistical model for internally calibrated amplification based viral load assays that combines these statistical properties in one powerful analysis. Based on the model an unambiguous definition of the lower limit of the linear range can be given. The proposed method of analysis was illustrated by a successful application to data generated by the NucliSens EasyQ HIV-1 assay.
authors.affiliation: Department of Biomathematics, BioMérieux, Boxtel, The Netherlands.
authors.forename: Jos J A M
authors.initials: JJ
authors.lastname: Weusten
authors.forename: Pieter A W M
authors.initials: PA
authors.lastname: Wouters
authors.forename: Martien C A
authors.initials: MC
authors.lastname: van Zuijlen
authors.forename: Paul A
authors.initials: PA
authors.lastname: van de Wiel
mesh_terms: D015497:HIV-1 / Q000235:genetics; D006801:Humans; D015233:Models, Statistical; D012367:RNA, Viral / Q000097:blood / Q000235:genetics / Q000592:standards; D012015:Reference Standards; D012680:Sensitivity and Specificity; D013269:Stochastic Processes; D019562:Viral Load / Q000379:methods* / Q000592:standards* / Q000706:statistics & numerical data
chemical_list: D012367:RNA, Viral