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Seminar Recording

Bayesian Networks for Health Economics and Public Policy Research

Recorded on November 15, 2018, at the NYU Kimmel Center in New York City.

 

Overview

In this seminar, we illustrate how Bayesian networks can serve as a powerful modeling and reasoning framework for health economics research and public policy development.

For five different case studies, we present a complete analysis workflow using the BayesiaLab 8 software platform:

  • Diagnostic decision support: using a machine-learned Bayesian network for cost-effective evidence-seeking in diagnosing coronary heart disease. This example introduces information-theoretic measures, such as Entropy and Mutual Information.
  • Quantifying the value of information in field triage for optimizing trauma activation thresholds with regard to hospital resource utilization.
  • Developing universal health policies under extreme uncertainty, i.e., without any data: "test & treat" or presumptive malaria treatment in sub-Saharan Africa.
  • Childhood Literacy Campaign: Simpson's paradox rears its ugly head and leads to misguided policies.
  • Causal inference from observational healthcare data: using machine learning and the Disjunctive Cause Criterion to reduce—but not eliminate—the need for causal assumptions.

For each example, we present the motivation, proposed methodology, and practical implementation.

Seminar Materials

BayesiaLab Courses

Dates Location Program
At your convenience On your desktop/laptop Introductory Course (60-Day Self-Study Edition)
At your convenience On your desktop/laptop Advanced Course (60-Day Self-Study Edition)
March 24–26, 2020 — CANCELLED Boston, MA, USA 3-Day Introductory Course
April 7–9, 2020 — CANCELLED  Paris, France 3-Day Introductory Course
May 6–8, 2020 Seattle, WA, USA 3-Day Introductory Course
May 11–13, 2020 Seattle, WA, USA 3-Day Advanced Course
June 15–17, 2020 Paris, France 3-Day Advanced Course
October 5–7, 2020 Toronto, ON, Canada 3-Day Introductory Course
October 13–15, 2020 Toronto, ON, Canada 3-Day Advanced Course

8th Annual BayesiaLab Conference

October 5–7, 2020 Toronto, ON, Canada 3-Day Introductory Course
October 8–9, 2020 Toronto, ON, Canada 8th Annual BayesiaLab Conference
October 13–15, 2020 Toronto, ON, Canada 3-Day Advanced Course