ArticleRadiation and environmental biophysics2018
A cautionary comment on the generation of Berkson error in epidemiological studies.
Article in Radiation and environmental biophysics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Acute lack of sunlight exposure is associated with poorer cognitive test performance: evidence from two national cohorts in the United Kingdom.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026Article
- Emotional demands at work and risk of hospital-treated depressive disorder in up to 1.6 million Danish employees: a prospective nationwide register-based cohort study.Scandinavian journal of work, environment & health · 2022Article
- The Measurement Error Elephant in the Room: Challenges and Solutions to Measurement Error in Epidemiology.Epidemiologic reviews · 2022Review
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Authors and funding
3 authors.
Funding
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Abstract
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.
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