JSM 2005 - Toronto

Abstract #303666

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 234
Type: Contributed
Date/Time: Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Quality and Productivity
Abstract - #303666
Title: Statistical Monitoring of Dose-response Quality Profiles from High-throughput Screening
Author(s): James Williams*+ and Jeffrey B. Birch and William H. Woodall and Nancy Ferry
Companies: GE Company and Virginia Polytechnic Institute and State University and Virginia Polytechnic Institute and State University and DuPont Crop Protection
Address: One Research Circle, Niskayuna, NY, 12309, United States
Keywords: Bioassay ; Hotelling's T^2 Statistic ; Lack-of-fit ; Multivariate SPC
Abstract:

In pharmaceutical drug and agricultural crop product discovery, in vitro bioassay experiments are used to identify promising compounds for further research. The reproducibility and accuracy of the bioassay is crucial to be able to correctly distinguish between active and inactive compounds. A replicated dose response of commercial crop protection products is assayed with every experimental run and used to monitor test quality. The activity of these positive controls on the test organisms---the weeds, insects, or fungi---are characterized by a dose-response curve measured from the bioassay. These curves are used to monitor the quality of the bioassays. If undesirable conditions in the bioassay arise, such as equipment failure or problems with the test organisms, a bioassay monitoring procedure is needed to quickly detect such issues. In this paper, we illustrate a proposed nonlinear profile monitoring method to monitor the variability of assay, the adequacy of the dose-response model chosen, and the estimated dose-response curves for aberrant cases. We illustrate these methods with in vitro bioassay data collected throughout one year from DuPont Crop Protection.

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Revised March 2005