| Literature DB >> 31340163 |
Abstract
As is true for quantitative assays, qualitative and semi-quantitative assays, producing strict binary or ordinal results, must undergo a verification process prior to their implementation for routine clinical laboratory testing. Standard method validation parameters used for quantitative assays, however, do not apply here. Rather, contingency tables, Bayesian statistics and statistical hypothesis testing for inter-rater agreement must be used. This article provides an overview of simple, practical tools, which can be used to verify the analytical performance of such assays. Topics discussed include the verification of precision and accuracy with a single experiment approach and performing method comparison experiments for assays with binary or ordinal results. Acceptance criteria are recommended for each test to provide a standardized framework for performance assessment. The approach is appropriate for all CE/IVD-marked and CLIA-waived assays and will ensure compliance with CAP, ISO 17025 and ISO 15189 regulations.Keywords: Bayesian statistics; Coefficient of unalikeability; Cohen's kappa; Qualitative assays; Semi-quantitative assays; Validation; Verification; Weighted kappa
Mesh:
Year: 2019 PMID: 31340163 DOI: 10.1016/j.cca.2019.07.018
Source DB: PubMed Journal: Clin Chim Acta ISSN: 0009-8981 Impact factor: 3.786