A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model

Riddhiman Adib, Paul M. Griffin, Sheikh Iqbal Ahamed, Mohammad Adibuzzaman. A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model. 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 2020, 7-8 August 2020, Virtual Event, Durham, NC, USA. Volume 126 of Proceedings of Machine Learning Research, pages 376-396, PMLR, 2020. [doi]

@inproceedings{AdibGAA20,
  title = {A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model},
  author = {Riddhiman Adib and Paul M. Griffin and Sheikh Iqbal Ahamed and Mohammad Adibuzzaman},
  year = {2020},
  url = {http://proceedings.mlr.press/v126/adib20a.html},
  researchr = {https://researchr.org/publication/AdibGAA20},
  cites = {0},
  citedby = {0},
  pages = {376-396},
  booktitle = {Proceedings of the Machine Learning for Healthcare Conference, MLHC 2020, 7-8 August 2020, Virtual Event, Durham, NC, 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 = {126},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}