@article{Lenzi:340300,
      recid = {340300},
      author = {Lenzi, Jacopo and Pildava, Santa},
      title = {Tips for calculating and displaying risk-standardized  hospital outcomes in Stata},
      journal = {Stata Journal},
      address = {2019-04},
      number = {199-2024-674},
      year = {2019},
      abstract = {A major challenge of outcomes research is measuring  hospital perfor- mance using readily available  administrative data. When the outcome measure is mortality  or morbidity, rates are adjusted to account for preexisting  conditions that may confound their assessment. However, the  concept of “risk-adjusted” out- comes is frequently  misunderstood. In this article, we try to clarify things,  and we describe Stata tools for appropriately calculating  and displaying risk-standardized outcome measures. We offer  practical guidance and illustrate the application of these  tools to an example based on real data (30-day mortality  following acute myocardial infarction in Latvia).},
      url = {http://ageconsearch.umn.edu/record/340300},
      doi = {https://doi.org/10.22004/ag.econ.340300},
}