A cautionary comment on the generation of Berkson error in epidemiological studies
- 83 Downloads
Exposure measurement error can be seen as one of the most important sources of uncertainty in studies in epidemiology. When the aim is to assess the effects of measurement error on statistical inference or to compare the performance of several methods for measurement error correction, it is indispensable to be able to generate different types of measurement error. This paper compares two approaches for the generation of Berkson error, which have recently been applied in radiation epidemiology, in their ability to generate exposure data that satisfy the properties of the Berkson model. In particular, it is shown that the use of one of the methods produces results that are not in accordance with two important properties of Berkson error.
KeywordsRadon Measurement error Uranium miners
- Allodji RS, Thiébaut A, Leuraud K, Rage E, Henry S, Laurier D et al (2012) The performance of functional methods for correcting non-Gaussian measurement error within Poisson regression: corrected excess risk of lung cancer mortality in relation to radon exposure among French uranium miners. Stat Med 31(30):4428–4443MathSciNetCrossRefGoogle Scholar
- Hoffmann S, Rage E, Laurier D, Laroche P, Guihenneuc C, Ancelet S (2017) Accounting for Berkson and classical measurement error in radon exposure using a Bayesian structural approach in the analysis of lung cancer mortality in the French cohort of uranium miners. Radiat Res 187:196–209ADSCrossRefGoogle Scholar