Statistical analysis of personal radiofrequency electromagnetic field measurements with nondetects

Röösli, Martin; Frei, Patrizia; Mohler, Evelyn; Braun-Fahrländer, Charlotte; Bürgi, Alfred; Fröhlich, Jürg; Neubauer, Georg; Theis, Gaston; Egger, Matthias (2008). Statistical analysis of personal radiofrequency electromagnetic field measurements with nondetects. Bioelectromagnetics, 29(6), pp. 471-8. New York,NY: Wiley-Liss 10.1002/bem.20417

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Exposimeters are increasingly applied in bioelectromagnetic research to determine personal radiofrequency electromagnetic field (RF-EMF) exposure. The main advantages of exposimeter measurements are their convenient handling for study participants and the large amount of personal exposure data, which can be obtained for several RF-EMF sources. However, the large proportion of measurements below the detection limit is a challenge for data analysis. With the robust ROS (regression on order statistics) method, summary statistics can be calculated by fitting an assumed distribution to the observed data. We used a preliminary sample of 109 weekly exposimeter measurements from the QUALIFEX study to compare summary statistics computed by robust ROS with a naïve approach, where values below the detection limit were replaced by the value of the detection limit. For the total RF-EMF exposure, differences between the naïve approach and the robust ROS were moderate for the 90th percentile and the arithmetic mean. However, exposure contributions from minor RF-EMF sources were considerably overestimated with the naïve approach. This results in an underestimation of the exposure range in the population, which may bias the evaluation of potential exposure-response associations. We conclude from our analyses that summary statistics of exposimeter data calculated by robust ROS are more reliable and more informative than estimates based on a naïve approach. Nevertheless, estimates of source-specific medians or even lower percentiles depend on the assumed data distribution and should be considered with caution.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine

UniBE Contributor:

Röösli, Martin and Egger, Matthias

ISSN:

0197-8462

ISBN:

18421711

Publisher:

Wiley-Liss

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 15:04

Last Modified:

18 Jun 2015 11:53

Publisher DOI:

10.1002/bem.20417

PubMed ID:

18421711

Web of Science ID:

000258634100007

BORIS DOI:

10.7892/boris.27785

URI:

https://boris.unibe.ch/id/eprint/27785 (FactScience: 111509)

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