S4E12: Agent Based Models with Dr. Brandon Marshall
About this episode
This episode discusses Agent Based Models in epidemiology with Dr. Brandon Marshall, covering their utility, challenges, and relationship to other modeling techniques.
In this episode, we discuss Agent Based Models with Dr. Brandon Marshall of the Brown School of Public Health. We talk about what these models are and why they are so useful in epidemiology. We discuss the challenges with these models and how to improve them. We talk about microsimulations and their relationship to mathematical models like SIR models. We talk about how the fit into the world of predictive models but also how they relate to counterfactuals. We talk about how to account for bias in the inputs in these models and how they relate to DAGs and data generating mechanisms. We talk about all the skills needed to create ABMs (coders, modelers, epidemiologists, etc.) and the software used to create them as well as the challenges with and need for replication, calibration and validation. And we talk about how far outside of Matt and Hailey’s experience in epidemiology.
More episodes of SERious EPI
- S5E5: Causal Pies, Pizza Toppings, and Interaction
- S5E3: From Cashew Nuts to Counterfactuals
- S5E2: Setting the table for Season 5
- S5E1: A Casual Conversation with Miguel Hernán
- S4E13: Agent Based Models
- S4E11: Quantitative Bias Analysis
Explore listener stats, chart rankings, contacts and more on the SERious EPI podcast page.