Worker studies and their interpretation
David B Richardson, Dominique Laurier, Richard Haylock, Kaitlin Kelly-Reif, Stephen Bertke, Robert D Daniels, Isabelle Thierry-Chef, Ausrele Kesminiene, Mary K Schubauer-Berigan

TL;DR
The paper discusses how radiation risk estimates from nuclear worker studies can differ across subgroups and how these differences can be interpreted.
Contribution
The paper provides insights into interpreting variation in radiation risk estimates across subcohorts in nuclear worker studies.
Findings
ERR/Gy estimates can vary across subcohorts in nuclear worker studies.
Subcohort-specific estimates may differ from overall study population estimates.
Steps were taken in the INWORKS study to understand variation in ERR/Gy estimates.
Abstract
A recent commentary on epidemiological studies of nuclear workers notes that these studies can provide radiation risk estimates that complement those derived from the study of Japanese atomic bomb survivors. The author asserts that the results from some nuclear worker studies are difficult to interpret due to the fact that ERR/Gy estimates vary across subcohorts, and subcohort-specific estimates are not always equal to estimates obtained in the overall study population. We discuss settings in which it is reasonable to expect that an estimate of association in a subcohort should be similar to an estimate obtained in the full cohort and settings in which a subcohort analysis may differ from the estimate obtained in a full cohort analysis. Focusing on the INWORKS study, we describe some of the steps taken to understand variation in estimates of ERR/Gy between subgroups and upon…
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Taxonomy
TopicsRadiation Dose and Imaging · Risk Perception and Management · Radioactivity and Radon Measurements
