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Activity Number: 660 - Biomarkers in Clinical Research and Development
Type: Contributed
Date/Time: Thursday, August 3, 2017 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract #324362 View Presentation
Title: A Hypothesis Testing Framework for Validating an Assay for Precision
Author(s): Michael Fay* and Michael C Sachs and Kazutoyo Miura
Companies: National Institute of Allergy and Infectious Diseases and Karolinska Institutet and National Institute of Allergy and Infectious Disease
Keywords: Assay qualification ; Bioassay ; Coefficient of variation ; Constant variance ; Functional assay ; Precision
Abstract:

A common way of validating an assay for precision is through the m:n:b procedure, where m levels of an analyte are measured with n replicates at each level, and if all m estimates of coefficient of variation (CV) are less than b, then the assay is declared validated for precision within the range of the m analyte levels. Two limitations of this procedure are: there is no clear statistical statement of precision upon passing, and it is unclear how to modify the procedure for assays with constant standard deviation. We reframe the procedure as a set of m hypothesis tests, which upon completion delivers a 100q% upper confidence limit on the CV. Additionally, for a post-validation assay output of y, the method gives an ``effective standard deviation interval'' of log(y) +/- r, which is a 68% confidence interval on log(mu), where mu is the expected value of the assay output for that sample. Further, the m:n:q procedure can be straightfowardly applied to constant standard deviation assays. We apply this new precision validating procedure to a growth inhibition assay.


Authors who are presenting talks have a * after their name.

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