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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

September 18–20, 2019 Paris, France Introductory Course (3 Days)
September 23–25, 2019 Paris, France Advanced Course (3 Days)
October 7–9, 2019 Durham, NC Introductory Course (3 Days)
October 14–16, 2019 Durham, NC Advanced Course (3 Days)

Upcoming Seminars, Webinars, and Conferences

August 28, 2019, 11 a.m. (CDT, UTC-5) Live Webinar What is Importance?
Please check out our archive of recordings of previous events.

7th Annual BayesiaLab Conference

October 7–9, 2019 Durham, NC 3-Day Introductory Course
October 10–11, 2019 Durham, NC 7th Annual BayesiaLab Conference
October 14–16, 2019 Durham, NC 3-Day Advanced Course