Large, Sparse Optimal Matching in an Observational Study of Surgical Outcomes

Large, Sparse Optimal Matching in an Observational Study of Surgical Outcomes

Neyman Seminar
Feb 1, 2017, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Sam Pimentel, Department of Statistics, Wharton School, UPenn
Every newly trained surgeon performs a first unsupervised operation. How do her patients' health outcomes compare with the patients of experienced surgeons? A credible comparison must (1) occur within hospitals, since health outcomes vary widely by hospital; (2) compare outcomes of patients undergoing the same operative procedures, since the risks differ in a knee replacement and an appendectomy;...