The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records

Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak. The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records. In Finale Doshi-Velez, Jim Fackler, Ken Jung, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens, editors, Proceedings of the Machine Learning for Healthcare Conference, MLHC 2019, 9-10 August 2019, Ann Arbor, Michigan, USA. Volume 106 of Proceedings of Machine Learning Research, pages 490-512, PMLR, 2019. [doi]

@inproceedings{ZhangWOMBH19,
  title = {The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records},
  author = {Linying Zhang and Yixin Wang and Anna Ostropolets and Jami J. Mulgrave and David M. Blei and George Hripcsak},
  year = {2019},
  url = {http://proceedings.mlr.press/v106/zhang19a.html},
  researchr = {https://researchr.org/publication/ZhangWOMBH19},
  cites = {0},
  citedby = {0},
  pages = {490-512},
  booktitle = {Proceedings of the  Machine Learning for Healthcare Conference, MLHC 2019, 9-10 August 2019, Ann Arbor, Michigan, USA},
  editor = {Finale Doshi-Velez and Jim Fackler and Ken Jung and David C. Kale and Rajesh Ranganath and Byron C. Wallace and Jenna Wiens},
  volume = {106},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}