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PubMed · 11104392

Qualifying ELISA data: combining information.

J J Liao·J W Lewis
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Abstract

With immunoassay or bioassay data, the assay standards often exhibit considerable inter-assay variability. However, the assay controls, which are used to monitor the assay performance and set acceptance criteria, should have no or less interassay variability. In this paper, we develop a mixed-effect calibration model for the assay controls to set new acceptance criteria and qualify the enzyme-linked immunosorbent assay (ELISA) data, which incorporates the interassay variation of assay standards and the nature of the assay controls, and overcomes the problems caused by traditional fixed-effect calibration model.

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CalibrationEnzyme-Linked Immunosorbent AssayModels, ChemicalModels, StatisticalProteinsReference StandardsJournal Article

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J J Liao, J W Lewis. 2000. Qualifying ELISA data: combining information.. https://doi.org/10.1081/bip-100101983

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