IARC-NCI workshop on an epidemiological toolkit to assess biases in human cancer studies for hazard identification: beyond the algorithm

Mary K Schubauer-Berigan¹, David B Richardson², Matthew P Fox³, Lin Fritschi⁴, Irina Guseva Canu⁵, Neil Pearce⁶, Leslie Stayner⁷, Amy Berrington de Gonzalez^{8

9}

Affiliations

¹ Evidence Synthesis and Classification Branch, International Agency for Research on Cancer, Lyon, France BeriganM@iarc.fr.
² Department of Environmental and Occupational Health, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California Irvine, Irvine, California, USA.
³ Department of Epidemiology and Department of Global Health, Boston University, Boston, Massachusetts, USA.
⁴ School of Public Health, Curtin University, Perth, Western Australia, Australia.
⁵ Unisanté, University of Lausanne, Lausanne, Switzerland.
⁶ Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
⁷ Evidence Synthesis and Classification Branch, International Agency for Research on Cancer, Lyon, France.
⁸ Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
⁹ Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

PMID: 36717257
DOI: 10.1136/oemed-2022-108724

Free article

Editorial

IARC-NCI workshop on an epidemiological toolkit to assess biases in human cancer studies for hazard identification: beyond the algorithm

Mary K Schubauer-Berigan et al. Occup Environ Med. 2023 Mar.

Free article

. 2023 Mar;80(3):119-120.

doi: 10.1136/oemed-2022-108724. Epub 2023 Jan 30.

Authors

Mary K Schubauer-Berigan¹, David B Richardson², Matthew P Fox³, Lin Fritschi⁴, Irina Guseva Canu⁵, Neil Pearce⁶, Leslie Stayner⁷, Amy Berrington de Gonzalez^{8

9}

Affiliations

¹ Evidence Synthesis and Classification Branch, International Agency for Research on Cancer, Lyon, France BeriganM@iarc.fr.
² Department of Environmental and Occupational Health, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California Irvine, Irvine, California, USA.
³ Department of Epidemiology and Department of Global Health, Boston University, Boston, Massachusetts, USA.
⁴ School of Public Health, Curtin University, Perth, Western Australia, Australia.
⁵ Unisanté, University of Lausanne, Lausanne, Switzerland.
⁶ Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
⁷ Evidence Synthesis and Classification Branch, International Agency for Research on Cancer, Lyon, France.
⁸ Division of Cancer Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
⁹ Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.

PMID: 36717257
DOI: 10.1136/oemed-2022-108724

No abstract available

Keywords: Environment; Epidemiology; Occupational Health; Statistics.

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Conflict of interest statement

Competing interests: LS has provided expert opinion on behalf of plaintiffs in relation to litigation in cases involving exposure to ethylene oxide and asbestos.

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IARC-NCI workshop on an epidemiological toolkit to assess biases in human cancer studies for hazard identification: beyond the algorithm

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IARC-NCI workshop on an epidemiological toolkit to assess biases in human cancer studies for hazard identification: beyond the algorithm

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