Literature DB >> 12148789

The potential for bias in Cohen's ecological analysis of lung cancer and residential radon.

Jay H Lubin1.   

Abstract

Cohen's ecological analysis of US lung cancer mortality rates and mean county radon concentration shows decreasing mortality rates with increasing radon concentration (Cohen 1995 Health Phys. 68 157-74). The results prompted his rejection of the linear-no-threshold (LNT) model for radon and lung cancer. Although several authors have demonstrated that risk patterns in ecological analyses provide no inferential value for assessment of risk to individuals, Cohen advances two arguments in a recent response to Darby and Doll (2000 J. Radiol. Prot. 20 221-2) who suggest Cohen's results are and will always be burdened by the ecological fallacy. Cohen asserts that the ecological fallacy does not apply when testing the LNT model, for which average exposure determines average risk, and that the influence of confounding factors is obviated by the use of large numbers of stratification variables. These assertions are erroneous. Average dose determines average risk only for models which are linear in all covariates, in which case ecological analyses are valid. However, lung cancer risk and radon exposure, while linear in the relative risk, are not linearly related to the scale of absolute risk, and thus Cohen's rejection of the LNT model is based on a false premise of linearity. In addition, it is demonstrated that the deleterious association for radon and lung cancer observed in residential and miner studies is consistent with negative trends from ecological studies, of the type described by Cohen.

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Year:  2002        PMID: 12148789     DOI: 10.1088/0952-4746/22/2/302

Source DB:  PubMed          Journal:  J Radiol Prot        ISSN: 0952-4746            Impact factor:   1.394


  5 in total

1.  The statistical power of epidemiological studies analyzing the relationship between exposure to ionizing radiation and cancer, with special reference to childhood leukemia and natural background radiation.

Authors:  M P Little; R Wakeford; J H Lubin; G M Kendall
Journal:  Radiat Res       Date:  2010-09       Impact factor: 2.841

2.  Screening effects in risk studies of thyroid cancer after the Chernobyl accident.

Authors:  Jan Christian Kaiser; P Jacob; M Blettner; S Vavilov
Journal:  Radiat Environ Biophys       Date:  2009-02-12       Impact factor: 1.925

Review 3.  Human exposure to high natural background radiation: what can it teach us about radiation risks?

Authors:  Jolyon H Hendry; Steven L Simon; Andrzej Wojcik; Mehdi Sohrabi; Werner Burkart; Elisabeth Cardis; Dominique Laurier; Margot Tirmarche; Isamu Hayata
Journal:  J Radiol Prot       Date:  2009-05-19       Impact factor: 1.394

4.  Thyroid cancer incidence in Chornobyl liquidators in Ukraine: SIR analysis, 1986-2010.

Authors:  Evgenia Ostroumova; Nataliya Gudzenko; Alina Brenner; Yevgeniy Gorokh; Maureen Hatch; Anatoliy Prysyazhnyuk; Kiyohiko Mabuchi; Dimitry Bazyka
Journal:  Eur J Epidemiol       Date:  2014-04-05       Impact factor: 8.082

5.  I-131 dose response for incident thyroid cancers in Ukraine related to the Chornobyl accident.

Authors:  Alina V Brenner; Mykola D Tronko; Maureen Hatch; Tetyana I Bogdanova; Valery A Oliynik; Jay H Lubin; Lydia B Zablotska; Valery P Tereschenko; Robert J McConnell; Galina A Zamotaeva; Patrick O'Kane; Andre C Bouville; Ludmila V Chaykovskaya; Ellen Greenebaum; Ihor P Paster; Victor M Shpak; Elaine Ron
Journal:  Environ Health Perspect       Date:  2011-03-17       Impact factor: 9.031

  5 in total

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