Error models for immunoassays | Zendy

W A Sadler | Zendy

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Error models for immunoassays

Author(s) -

W A Sadler

Publication year - 2008

Publication title -

annals of clinical biochemistry international journal of laboratory medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.6

H-Index - 80

eISSN - 1758-1001

pISSN - 0004-5632

DOI - 10.1258/acb.2008.007230

Subject(s) - variance (accounting) , weighting , function (biology) , statistics , computer science , flexibility (engineering) , statistic , variance function , set (abstract data type) , monotonic function , data mining , algorithm , mathematics , regression analysis , medicine , biology , mathematical analysis , accounting , evolutionary biology , business , radiology , programming language

For nearly 20 years, we and others have used a three-parameter power function as a direct estimation error model for immunoassays. The main application is imprecision profile plots (after translating from variance to coefficient of variation) but other uses include weighting functions for regression analysis and variance stabilizing transformations. Although generally successful, the intrinsic monotonicity of the function means that it fails to describe small but distinct increases in variance that occasionally occur near the assay detection limit.

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