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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

March 29, 2019 Singapore BayesiaLab 101 Short Course (1 Day)
April 1, 2019 Bangalore, India BayesiaLab 101 Short Course (1 Day)
April 2–4, 2019 Amsterdam, Netherlands Introductory Course (3 Days)
April 3, 2019 Gurgaon, India BayesiaLab 101 Short Course (1 Day)
April 5, 2019 Mumbai, India BayesiaLab 101 Short Course (1 Day)
May 8–10, 2019 Singapore Introductory Course (3 Days)
May 13–15, 2019 Sydney, Australia Introductory Course (3 Days)
May 21–23, 2019 Paris, France Advanced Course (3 Days, in French) 
June 12–14, 2019 Seattle, WA Introductory Course (3 Days)
June 17–19, 2019 Seattle, WA Advanced Course (3 Days)

Upcoming Seminars, Webinars, and Conferences

Public Seminar at Nanyang Technological University, Singapore March 28, 2019 13:00 – 16:00 (UTC+8) Human-Machine Teaming in Practice:
Bayesian Networks as a Collaborative Approach to Artificial Intelligence
Live Webinar April 25, 2019 11:00 – 12:00 (CDT, UTC-5) Black Swans & Bayesian Networks
Live Webinar May 16, 2019 11:00 – 12:00 (CDT, UTC-5) Human-Machine Teaming
Live Webinar May 30, 2019 11:00 – 12:00 (CDT, UTC-5) Causal Counterfactuals for Contribution Analysis — Explaining a Misunderstood Concept with Bayesian Networks
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