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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Modeling lung carcinogenesis in radon-exposed miner cohorts: Accounting for missing information on smoking.
Risk Anal. 36, 954-967 (2016)
Epidemiological miner cohort data used to estimate lung cancer risks related to occupational radon exposure often lack cohort-wide information on exposure to tobacco smoke, a potential confounder and important effect modifier. We have developed a method to project data on smoking habits from a case-control study onto an entire cohort by means of a Monte Carlo resampling technique. As a proof of principle, this method is tested on a subcohort of 35,084 former uranium miners employed at the WISMUT company (Germany), with 461 lung cancer deaths in the follow-up period 1955-1998. After applying the proposed imputation technique, a biologically-based carcinogenesis model is employed to analyze the cohort's lung cancer mortality data. A sensitivity analysis based on a set of 200 independent projections with subsequent model analyses yields narrow distributions of the free model parameters, indicating that parameter values are relatively stable and independent of individual projections. This technique thus offers a possibility to account for unknown smoking habits, enabling us to unravel risks related to radon, to smoking, and to the combination of both.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Lung Cancer ; Modeling ; Monte Carlo ; Projection ; Radon ; Risk ; Smoking ; Uranium Miners ; Wismut Cohort; German Uranium Miners; Clonal Expansion Model; Cancer Risk; Cigarette-smoke; 2-stage Model; Wismut Cohort; Mortality; Exposures; Selection; French
ISSN (print) / ISBN
0272-4332
e-ISSN
1539-6924
Zeitschrift
Risk Analysis
Quellenangaben
Band: 36,
Heft: 5,
Seiten: 954-967
Verlag
Wiley
Verlagsort
Hoboken
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed