A General Propensity Matching Algorithm to Control for Potential Confounders in Observational Studies using Outcomes Miner

Julianna Kohler, Manigandan Easwaran, Gerardo Soto-Campos, Tanmay Gupta, Santhosh Narayanan, Elisabeth Scheufele, Matvey B. Palchuk. A General Propensity Matching Algorithm to Control for Potential Confounders in Observational Studies using Outcomes Miner. In AMIA 2014, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 15-19, 2014. AMIA, 2014. [doi]

@inproceedings{KohlerESGNSP14,
  title = {A General Propensity Matching Algorithm to Control for Potential Confounders in Observational Studies using Outcomes Miner},
  author = {Julianna Kohler and Manigandan Easwaran and Gerardo Soto-Campos and Tanmay Gupta and Santhosh Narayanan and Elisabeth Scheufele and Matvey B. Palchuk},
  year = {2014},
  url = {http://knowledge.amia.org/56638-amia-1.1540970/t-005-1.1543914/f-005-1.1543915/a-401-1.1544468/a-402-1.1544465},
  researchr = {https://researchr.org/publication/KohlerESGNSP14},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2014, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 15-19, 2014},
  publisher = {AMIA},
}