Abstract #301815

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JSM 2002 Abstract #301815
Activity Number: 389
Type: Contributed
Date/Time: Thursday, August 15, 2002 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section*
Abstract - #301815
Title: Concentration E$stimation for Biological Assay: A Robust Maximum Information Approach
Author(s): Xiang Ye*+ and Andrew Reilly
Affiliation(s): New York University and Wadsworth Center for Labs and Research
Address: , , , ,
Keywords: robust regression ; nonlinear model ; calibration ; immunoassay
Abstract:

The estimation of concentration in test samples by immunoassay techniques is a common laboratory practice and is an essential step in pharmaceutical drug development. The associated nonlinear statistical calibration problem is to obtain estimated concentrations for multiple test samples utilizing a standard curve. In this paper, we propose a robust method which integrates all available information into the estimation by treating the standards, which may be absent, as additional samples. The resulting estimates are more efficient, especially when the standards are subject to high variability, than those obtained by the usual calibration procedure. Applications on estimating protein levels in immunology studies involving 96-well microtiter plates and quantitating gene expression from real time polymerase chain reaction (PCR) assays will be presented.

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Revised March 2002