Stanford Health Policy Seminar: Fernando Alarid-Escudero - On Biases and Heterogeneity in Value of Information Analysis using Individual-Level Models
Friday, April 12, 202412:00 PM - 1:00 PM (Pacific)
After registering, you will receive a confirmation email. For Zoom participants, the link will be in the confirmation email.
Registration
Hybrid Seminar: Lunch will be provided for on-campus participants.
Please register if you plan to attend, both for in-person and via Zoom.
Log in on your computer, or join us in person:
Encina Commons, Room 119
615 Crothers Way
Stanford, CA 94305
Fernando Alarid-Escudero, Ph.D., is an Assistant Professor of Health Policy at Stanford University School of Medicine. He obtained his Ph.D. in Health Decision Sciences from the University of Minnesota School of Public Health, and was an Assistant Professor at the Center for Research and Teaching in Economics (CIDE) Región Centro, Aguascalientes, Mexico, from 2018 to 2022, prior to coming to Stanford. His research focuses on developing statistical and decision-analytic models to identify optimal prevention, control, and treatment policies to address a wide range of public health problems and develops novel methods to quantify the value of future research.