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Reference: Nicholson, G and Holmes, C, (2016). A note on statistical repeatability and study design for high-throughput assays. Statistics in Medicine, 36 (5), 790–798.Citable link to this page:

 

A note on statistical repeatability and study design for high-throughput assays

Abstract: Characterizing the technical precision of measurements is a necessary stage in the planning of experiments and in the formal sample size calculation for optimal design. Instruments that measure multiple analytes simultaneously, such as in high-throughput assays arising in biomedical research, pose particular challenges from a statistical perspective. The current most popular method for assessing precision of high-throughput assays is by scatterplotting data from technical replicates. Here, we question the statistical rationale of this approach from both an empirical and theoretical perspective, illustrating our discussion using four example data sets from different genomic platforms. We demonstrate that such scatterplots convey little statistical information of relevance and are potentially highly misleading. We present an alternative framework for assessing the precision of high-throughput assays and planning biomedical experiments. Our methods are based on repeatability-a long-established statistical quantity also known as the intraclass correlation coefficient. We provide guidance and software for estimation and visualization of repeatability of high-throughput assays, and for its incorporation into study design.

Publication status:PublishedPeer Review status:Peer reviewedVersion:Publisher's versionDate of acceptance:28 October 2016Notes:Copyright © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Bibliographic Details

Publisher: John Wiley & Sons Ltd

Publisher Website: http://onlinelibrary.wiley.com/

Journal: Statistics in Medicinesee more from them

Publication Website: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0258

Volume: 36

Issue: 5

Extent: 790–798

Issue Date: 24 November 2016

pages:790–798Identifiers

Doi: https://doi.org/10.1002/sim.7175

Eissn: 1097-0258

Issn: 0277-6715

Uuid: uuid:18bc00b1-95ee-43bc-b0f3-6d7554849c09

Urn: uri:18bc00b1-95ee-43bc-b0f3-6d7554849c09

Pubs-id: pubs:663663 Item Description

Type: journal-article;

Language: eng

Version: Publisher's versionKeywords: high-throughput assay repeatability scatterplot study design technical replicate

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Author: Nicholson, G - Oxford, MPLS, Statistics - - - Holmes, C - Oxford, MSD, NDM, Human Genetics Wt Centre St Annes College fundingEngi

Source: https://ora.ox.ac.uk/objects/uuid:18bc00b1-95ee-43bc-b0f3-6d7554849c09



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