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Mortality prediction models, causal effects, and end-of-life decision making in the intensive care unit

Authors

  • Jason H Maley Center for Healthcare Delivery Science, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USAInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Kerollos N Wanis Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Jessica G Young Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USADepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Leo A Celi Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USADivision of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Jason H Maley; jmaley{at}bidmc.harvard.edu

Citation

Maley JH, Wanis KN, Young JG, et al
Mortality prediction models, causal effects, and end-of-life decision making in the intensive care unit

Publication history

  • Received August 5, 2020
  • Accepted October 5, 2020
  • First published October 26, 2020.
Online issue publication 
October 26, 2020

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