Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/7528
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Limit of detection values in data analysis: Do they matter?
Authors: Wood, Michael D
Beresford, Nicholas A
Copplestone, David
Contact Email: david.copplestone@stir.ac.uk
Issue Date: 2011
Publisher: EDP Sciences /Société Française de Radioprotection.
Citation: Wood MD, Beresford NA & Copplestone D (2011) Limit of detection values in data analysis: Do they matter?, Radioprotection, 46 (6 Supplement), pp. S85-S90.
Abstract: Data sets containing values below the limit of detection (LOD) are known as 'censored data sets'. Such data sets are encountered regularly in most fields of environmental contaminant research. The current norm within environmental radioactivity research is to use substitution methods when analysing data sets that include values below the LOD, commonly replacing each LOD value with a value equal to half the LOD (LOD/2). However, this approach has no statistical basis and has implications when summarising or comparing data sets because it can lead to underestimates or overestimates of both the mean and the standard deviation. To remove the need to apply substitution methods, over the last four decades other fields of environmental science have been adopting statistical techniques developed for medical research applications. Despite the long history of applying these techniques in other fields and two recent environmental radioactivity publications that have used survival analysis techniques, there still seems to be reluctance within the environmental radioactivity research community to adopt these 'new' methods. This paper introduces the statistical techniques that can be used in place of LOD substitution, presents some guidance on the applicability of these techniques for different levels of data censoring and provides some examples of the use of these methods in various contexts. It is hoped the present paper will contribute to the evidence-base supporting the use of survival analysis within the field of environmental radioactivity research and go some way to changing the current norm of substitution using LOD/ 2.
Type: Journal Article
URI: http://hdl.handle.net/1893/7528
DOI Link: http://dx.doi.org/10.1051/radiopro/20116728s
Rights: Publisher policy allows this work to be made available in this repository. Published in Radioprotection by EDP Sciences, copyright 2011. Radioprotection, Volume 46, Number 6, 2011, pp. S85 - S90, http://dx.doi.org/10.1051/radiopro/20116728s. The original publication is available at www.edpsciences.org/radiopro
Affiliation: Manchester Metropolitan University
Lancaster Environment Centre
Biological and Environmental Sciences

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