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Archived Seminar

Bayesian Networks for Health Economics and Public Policy Research

This seminar was held on June 6, 2018, in Toronto. A video recording of this particular seminar is currently not available. However, you can access all the presentation materials below. Also, please note that we hosted a very similar event in New York City later in the year, for which a recording is available.

Overview

In this seminar, we will illustrate five prototypical examples of applied research with Bayesian networks and BayesiaLab related to health economics and public policy:

  • Diagnostic decision support: using Bayesian networks for cost-effective evidence-seeking in diagnosing coronary heart disease.
  • Quantifying the value of information in field triage for defining adaptive trauma activation thresholds for the optimal utilization of hospital resources.
  • Developing universal policies under extreme uncertainty, e.g., in the absence of epidemiological data: "test & treat" vs. presumptive malaria treatment in sub-Saharan Africa.
  • The Chicago Condom Campaign: Simpson's paradox rears its ugly head.
  • Causal inference from observational healthcare data: using machine learning and the Disjunctive Cause Criterion to reduce—not eliminate—the need for causal assumptions from domain experts.

Each case study will include a theoretical presentation and a practical demonstration using the BayesiaLab software platform.

Seminar Materials

BayesiaLab Courses

July 17, 2019 Washington, D.C. BayesiaLab 101 Short Course (1 Day)
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

Live Webinar July 19, 2019 11:00 – 12:00 (CDT, UTC-5) Black Swans & Bayesian Networks — Jointly Representing Common and Rare Events
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