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The Challenges of Parameterizing Direct Effects in Individual-Level Simulation Models

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  • Eleanor J. Murray

    (Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA)

  • James M. Robins

    (Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
    Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA)

  • George R. Seage III

    (Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA)

  • Kenneth A. Freedberg

    (Divisions of General Internal Medicine and Infectious Disease and the Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
    Department of Health Policy and Management, Harvard TH Chan School of Public Health, Boston, MA, USA)

  • Miguel A. Hernán

    (Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
    Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
    Harvard-MIT Division of Health Sciences and Technology, Boston, MA, USA)

Abstract

No abstract is available for this item.

Suggested Citation

  • Eleanor J. Murray & James M. Robins & George R. Seage III & Kenneth A. Freedberg & Miguel A. Hernán, 2020. "The Challenges of Parameterizing Direct Effects in Individual-Level Simulation Models," Medical Decision Making, , vol. 40(1), pages 106-111, January.
  • Handle: RePEc:sae:medema:v:40:y:2020:i:1:p:106-111
    DOI: 10.1177/0272989X19894940
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    References listed on IDEAS

    as
    1. Nadia N Abuelezam & Kathryn Rough & George R Seage III, 2013. "Individual-Based Simulation Models of HIV Transmission: Reporting Quality and Recommendations," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-1, September.
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