Predicting High-Risk Opioid Prescriptions Before they are Given
NBER Working Paper No. 25791
---- Acknowledgments ----
We thank Miraj Shah for contributions to the project; Tom Coderre, Brandon Marshall, Susan Athey, and participants at the NBER conference on Machine Learning in Healthcare for helpful comments; and the Office of the Governor of Rhode Island and the Rhode Island Executive Office of Health and Human Services for supporting this research. We thank the Smith Richardson Foundation and the Laura and John Arnold Foundation for financial support. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.