Parameter robust designs for immunoassays

An ELISA example

P. Ndlovu, J. L. Rosenberger

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A parameter robust design for an immunoassay, such as the ELISA, is one that is not too sensitive to misspecification of the parameter values of the assumed regression model, and predicts a wide range of the unknown concentrations of a specified biochemical substance as precisely as possible. In this paper we use the ELISA example to demonstrate that the parameter robust optimality such as the weighted minimax and the expectation criteria have the potential of obtaining reasonably efficient parameter robust designs for immunoassays.

Original languageEnglish (US)
Pages (from-to)55-73
Number of pages19
JournalSouth African Statistical Journal
Volume40
Issue number1
StatePublished - 2006

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Robust Parameter Design
Immunoassay
Enzyme-linked Immunosorbent Assay
Misspecification
Minimax
Optimality
Regression Model
Predict
Unknown
Range of data
Demonstrate
Enzyme-linked immunosorbent assay
Robust design

All Science Journal Classification (ASJC) codes

  • Statistics and Probability

Cite this

Ndlovu, P. ; Rosenberger, J. L. / Parameter robust designs for immunoassays : An ELISA example. In: South African Statistical Journal. 2006 ; Vol. 40, No. 1. pp. 55-73.
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Ndlovu, P & Rosenberger, JL 2006, 'Parameter robust designs for immunoassays: An ELISA example', South African Statistical Journal, vol. 40, no. 1, pp. 55-73.

Parameter robust designs for immunoassays : An ELISA example. / Ndlovu, P.; Rosenberger, J. L.

In: South African Statistical Journal, Vol. 40, No. 1, 2006, p. 55-73.

Research output: Contribution to journalArticle

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