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A marginal structural model approach to analyse work-related injuries: an example using data from the health and retirement study

Authors

  • Navneet Kaur Baidwan Midwest Center for Occupational Health and Safety Education and Research Center, Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA PubMed articlesGoogle scholar articles
  • Susan Goodwin Gerberich Midwest Center for Occupational Health and Safety Education and Research Center, Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA PubMed articlesGoogle scholar articles
  • Hyun Kim Midwest Center for Occupational Health and Safety Education and Research Center, Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA PubMed articlesGoogle scholar articles
  • Andrew D Ryan Midwest Center for Occupational Health and Safety Education and Research Center, Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA PubMed articlesGoogle scholar articles
  • Timothy Church Midwest Center for Occupational Health and Safety Education and Research Center, Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA PubMed articlesGoogle scholar articles
  • Benjamin Capistrant School of Social Work, Smith College, Smith College, Northampton, Massachusetts, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Professor Susan Goodwin Gerberich, Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis MN 55455, USA; gerbe001{at}umn.edu
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Citation

Baidwan NK, Gerberich SG, Kim H, et al
A marginal structural model approach to analyse work-related injuries: an example using data from the health and retirement study

Publication history

  • Received December 21, 2018
  • Revised March 19, 2019
  • Accepted March 29, 2019
  • First published April 24, 2019.
Online issue publication 
May 20, 2020

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