Calibration inference based on multiple runs of an immunoassay.

Journal Article

Several authors have documented the poor performance of usual large-sample, individual calibration confidence intervals based on a single run of an immunoassay. Inaccuracy of these intervals may be attributed to the paucity of information on model parameters available in a single run. Methods for combining information from multiple runs to estimate assay response variance parameters and to refine characterization of the standard curve for the current run via empirical Bayes techniques have been proposed. We investigate formally the utility of these techniques for improving the quality of routine individual calibration inference.

Full Text

Duke Authors

Cited Authors

  • Zeng, Q; Davidian, M

Published Date

  • December 1997

Published In

Volume / Issue

  • 53 / 4

Start / End Page

  • 1304 - 1317

PubMed ID

  • 9423252

Pubmed Central ID

  • 9423252

International Standard Serial Number (ISSN)

  • 0006-341X

Language

  • eng

Conference Location

  • United States