Rc. Gentleman et al., STATISTICAL QUALITY-CONTROL OF HIV-1 ELISA TEST-PERFORMANCE, Journal of the American Statistical Association, 89(428), 1994, pp. 1200-1208
Ensuring the quality and performance of human immunodeficiency virus,
type 1 (HIV-1) enzyme-linked immunosorbent assay (ELISA) testing in ro
utine laboratory situations is an important practical concern. In this
article we develop statistical quality control procedures designed to
monitor test performance of the microplates being processed. First, t
he logarithm of measured optical density is shown to be a more appropr
iate scale on which to work. Shewhart control charts are considered bu
t are not entirely satisfactory because of between-plate variation. Co
rrect classification depends more on within-plate variation than on be
tween-plate variation. Range charts are useful, but they do not direct
ly indicate whether the results from any particular microplate are rel
iable. Consequently, a new statistical control chart-the separation ch
art-is proposed, and the assumptions on which it is based are empirica
lly verified. Retrospective analysis of nearly 1,300 microplates, usin
g separation and range charts, demonstrates that these statistical pro
cess control methods may represent a potentially useful supplement to
the manufacturer's recommended quality control procedures.