Two dimensions of measurement error: classical and berkson error in residential radon exposure assessment

Two dimensions of measurement error: classical and berkson error in residential radon exposure assessment

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ABSTRACT Measurement error in exposure assessment is unavoidable. Statistical methods to correct for such errors rely upon a valid error model, particularly regarding the classification of


classical and Berkson error, the structure and the size of the error. We provide a detailed list of sources of error in residential radon exposure assessment, stressing the importance of (a)


the differentiation between classical and Berkson error and (b) the clear definitions of predictors and operationally defined predictors using the example of two German case–control studies


on lung cancer and residential radon exposure. We give intuitive measures of error size and present evidence on both the error size and the multiplicative structure of the error from three


data sets with repeated measurements of radon concentration. We conclude that modern exposure assessment should not only aim to be as accurate and precise as possible, but should also


provide a model of the remaining measurement errors with clear differentiation of classical and Berkson components. Access through your institution Buy or subscribe This is a preview of


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FOR ENVIRONMENTAL EXPOSURE AND BIOMONITORING DATA WITH REPEATED MEASUREMENTS AND VALUES BELOW THE LIMIT OF DETECTION Article 22 January 2024 USING LOW-COST SENSOR TECHNOLOGIES AND ADVANCED


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108(5): 419–426. Article  CAS  Google Scholar  Download references AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * GSF-National Research Center for Environment and Health, Insitute of


Epidemiology, Neuherberg, Germany I M Heid & H E Wichmann * Department of Statistics, Ludwig-Maximilians-Universtität München, Munich, Germany H Küchenhoff * National Radiation


Protection Board, Oxford, UK J Miles * Institute for Biometry, Epidemiology and Information Processing, Hanover School of Veterinary Medicine, Hanover, Germany L Kreienbrock Authors * I M


Heid View author publications You can also search for this author inPubMed Google Scholar * H Küchenhoff View author publications You can also search for this author inPubMed Google Scholar


* J Miles View author publications You can also search for this author inPubMed Google Scholar * L Kreienbrock View author publications You can also search for this author inPubMed Google


Scholar * H E Wichmann View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to I M Heid. RIGHTS AND PERMISSIONS Reprints


and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Heid, I., Küchenhoff, H., Miles, J. _et al._ Two dimensions of measurement error: Classical and Berkson error in residential radon


exposure assessment. _J Expo Sci Environ Epidemiol_ 14, 365–377 (2004). https://doi.org/10.1038/sj.jea.7500332 Download citation * Received: 27 February 2003 * Accepted: 28 October 2003 *


Published: 13 September 2004 * Issue Date: 01 September 2004 * DOI: https://doi.org/10.1038/sj.jea.7500332 SHARE THIS ARTICLE Anyone you share the following link with will be able to read


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KEYWORDS * measurement error * Berkson error * error models * error sources * radon * case–control studies.