A common assumption in the analysis of immunoassay data is a similar p
attern of within-run variation across runs of the assay. One makes thi
s assumption without formal investigation of its validity, despite the
widely acknowledged fact that accurate understanding of intra-run var
iation is critical to reliable calibration inference. We propose a sim
ple procedure for a. formal test of the assumption of the homogeneity
of parameters that characterize intra-run variation based on represent
ation of standard curve data from multiple assay runs by a non-linear
mixed effects model. We examine the performance of the procedure and i
nvestigate the robustness of calibration inference to incorrect assump
tions about the pattern of intra-run variation. (C) 1997 by John Wiley
& Sons, Ltd.