Donald Lee
Associate Professor of Operations at Yale School of Management
Biography
Yale School of Management
From clinical trials to credit loans to queues, hazard models permeate many fields of scientific inquiry. The staple methods for hazard estimation all require some form of separability like proportional- or additive-hazards. To flexibly capture time-covariate interactions in the hazard function, we propose a practical estimation procedure that does not require any semiparametric assumptions. Our hazard estimator is consistent if the model is correctly specified; alternatively an oracle inequality can be demonstrated for tree-based models. As an application, we use the method to estimate the service rate at an academic emergency department, as a function of current workload and other state variables. Compared to estimates obtained from semiparametric models, our findings offer new insights into the relationship between service speed and physician workload, a question that is of interest to researchers in healthcare management. Joint work with Ningyuan Chen (HKUST)
Education
- PhD (Operations Research), Stanford University
- MS (Statistics), Stanford University
- MMath , Cambridge University
- BA/MA (Mathematics), Cambridge University
Courses
- Advanced Business Analytics with Spreadsheets MGT 809
- Big Data MGT 819
- Modeling Managerial Decisions MGT 405
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