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Original article
Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness

Authors

  • Ghassan Badri Hamra Section of Environment and Radiation, International Agency for Research on Cancer, Lyon, France PubMed articlesGoogle scholar articles
  • Richard MacLehose Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA PubMed articlesGoogle scholar articles
  • David Richardson Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA PubMed articlesGoogle scholar articles
  • Stephen Bertke National Institute for Occupational Safety and Health (NIOSH), Division of Surveillance, Hazard Evaluations, and Field Studies (DSHEFS), Industrywide Studies Branch (IWSB), Cincinnati, Ohio, USA PubMed articlesGoogle scholar articles
  • Robert D Daniels National Institute for Occupational Safety and Health (NIOSH), Division of Surveillance, Hazard Evaluations, and Field Studies (DSHEFS), Industrywide Studies Branch (IWSB), Cincinnati, Ohio, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Ghassan Hamra, Section of Environment and Radiation, International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon 69006, France; hamrag{at}fellows.iarc.fr
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Citation

Hamra GB, MacLehose R, Richardson D, et al
Modelling complex mixtures in epidemiologic analysis: additive versus relative measures for differential effectiveness

Publication history

  • Received June 13, 2013
  • Revised September 17, 2013
  • Accepted October 16, 2013
  • First published November 8, 2013.
Online issue publication 
January 15, 2014

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