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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

November 22, 2019 New York, NY Judicial Reasoning, Bayes' Rule, and Artificial Intelligence (3-Hour Seminar)
December 10–12, 2019 New York, NY Introductory Course (3-Day Course)

Seminars, Webinars, and Conferences

November 13, 2019, 11 a.m. – 12 p.m. (CDT, UTC-06) Live Webinar Beyond Effect Sizes: Establishing Priorities Using Target Dynamic Profile
December 4, 2019, 11 a.m. – 12 p.m. (CST, UTC-06) Live Webinar Bayesian Parameter Estimation for Individualized Drug Dosing
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