Partial Parallelism Plots

Demonstrating parallelism in quantitative laboratory tests is crucial to ensure accurate reporting of data and minimise risks to patients. Regulatory authorities make the demonstration of parallelism before clinical use approval mandate. However, achieving statistical parallelism can be arduous, esp...

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Main Author: Axel Petzold
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/2/602
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author Axel Petzold
author_facet Axel Petzold
author_sort Axel Petzold
collection DOAJ
description Demonstrating parallelism in quantitative laboratory tests is crucial to ensure accurate reporting of data and minimise risks to patients. Regulatory authorities make the demonstration of parallelism before clinical use approval mandate. However, achieving statistical parallelism can be arduous, especially when parallelism is limited to a subrange of the data. To address potential biases and confounds, I propose a simple graphical method, the Partial Parallelism Plot, to demonstrate partial parallelism. The proposed method offers ease of understanding, intuitiveness, and graphical simplicity. It enables the graphical assessment of quantitative data risk when parallelism is lacking within a defined range. As parallelism may not be consistent across the entire analytical range, the plots focus on partial parallelism. The method can readily be programmed into graphical applications for enhanced interactivity. By providing a clear graphical representation, the method allows researchers to ascertain the presence of parallelism in laboratory tests, thus aiding in the validation process for trials and clinical applications.
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spelling doaj.art-a9f46de52b934deca5a1f56e15af70cb2024-01-29T13:43:01ZengMDPI AGApplied Sciences2076-34172024-01-0114260210.3390/app14020602Partial Parallelism PlotsAxel Petzold0Queen Square Institute of Neurology, UCL, London WC1N 3BG, UKDemonstrating parallelism in quantitative laboratory tests is crucial to ensure accurate reporting of data and minimise risks to patients. Regulatory authorities make the demonstration of parallelism before clinical use approval mandate. However, achieving statistical parallelism can be arduous, especially when parallelism is limited to a subrange of the data. To address potential biases and confounds, I propose a simple graphical method, the Partial Parallelism Plot, to demonstrate partial parallelism. The proposed method offers ease of understanding, intuitiveness, and graphical simplicity. It enables the graphical assessment of quantitative data risk when parallelism is lacking within a defined range. As parallelism may not be consistent across the entire analytical range, the plots focus on partial parallelism. The method can readily be programmed into graphical applications for enhanced interactivity. By providing a clear graphical representation, the method allows researchers to ascertain the presence of parallelism in laboratory tests, thus aiding in the validation process for trials and clinical applications.https://www.mdpi.com/2076-3417/14/2/602parallelismbiomarkerlaboratorytestgraphical statistics
spellingShingle Axel Petzold
Partial Parallelism Plots
Applied Sciences
parallelism
biomarker
laboratory
test
graphical statistics
title Partial Parallelism Plots
title_full Partial Parallelism Plots
title_fullStr Partial Parallelism Plots
title_full_unstemmed Partial Parallelism Plots
title_short Partial Parallelism Plots
title_sort partial parallelism plots
topic parallelism
biomarker
laboratory
test
graphical statistics
url https://www.mdpi.com/2076-3417/14/2/602
work_keys_str_mv AT axelpetzold partialparallelismplots