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Open AccessJournal ArticleDOI

Probability of Detection (POD) as a statistical model for the validation of qualitative methods.

TLDR
Probability of Detection (POD) characterizes method response with respect to concentration as a continuous variable and provides a tool for graphical representation of response curves for qualitative methods.
Abstract
A statistical model is presented for use in validation of qualitative methods. This model, termed Probability of Detection (POD), harmonizes the statistical concepts and parameters between quantitative and qualitative method validation. POD characterizes method response with respect to concentration as a continuous variable. The POD model provides a tool for graphical representation of response curves for qualitative methods. In addition, the model allows comparisons between candidate and reference methods, and provides calculations of repeatability, reproducibility, and laboratory effects from collaborative study data. Single laboratory study and collaborative study examples are given.

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Journal ArticleDOI

A tutorial on the validation of qualitative methods: from the univariate to the multivariate approach.

TL;DR: This tutorial provides an overview of the validation of qualitative analytical methods, with particular focus on their main performance parameters, for both univariate and multivariate methods.
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Optimization of the Inspection of Large Composite Materials Using Robotized Line Scan Thermography

TL;DR: In this article, a robotized line scan thermography (LST) technique has been applied on a large composite component which contains different types of internal defects located at a variety of depths.
Journal ArticleDOI

Validation of qualitative PCR methods on the basis of mathematical–statistical modelling of the probability of detection

TL;DR: In this paper, a new model for the probability of detection (POD curve) for qualitative PCR methods examined in a method validation collaborative study is presented, which allows the calculation of the POD curve and the limit of detection.
Journal ArticleDOI

A protocol for the validation of qualitative methods of detection

TL;DR: A simulation study showed that a conclusion that a method is fit for purpose that is generated by the draft protocol is likely to be safe.
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Recent Development of Quality Control Methods for Herbal Derived Drug Preparations

TL;DR: To gain reliable results of any analysis that has been performed at any QC laboratory, the analysis method must be validated according to the newest guidance and sample detection limit of any toxic compound(s) should be lower than its cut-off value and MPL.
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