Abstract:
:Often with data from immunoassays, the concentration-response relationship is nonlinear and intra-assay response variance is heterogeneous. Estimation of the standard curve is usually based on a nonlinear heteroscedastic regression model for concentration-response, where variance is modeled as a function of mean response and additional variance parameters. This paper discusses calibration inference for immunoassay data which exhibit this nonlinear heteroscedastic mean-variance relationship. An assessment of the effect of variance function estimation in three types of approximate large-sample confidence intervals for unknown concentrations is given by theoretical and empirical investigation and application to two examples. A major finding is that the accuracy of such calibration intervals depends critically on the nature of response variance and the quality with which variance parameters are estimated.
journal_name
Biometricsjournal_title
Biometricsauthors
Belanger BA,Davidian M,Giltinan DMsubject
Has Abstractpub_date
1996-03-01 00:00:00pages
158-75issue
1eissn
0006-341Xissn
1541-0420journal_volume
52pub_type
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