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.
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.
- Presentation Slides (PDF, 58.4 MB)
- Example 1: Diagnostic Decision Support
- Example 2: Trauma Activation Policy
- Example 3: Optimizing Health Policies Under Uncertainty
- BayesiaLab Network File (XBL, 2 KB)
- Example 4: Chicago Condom Campaign
- Example 5:
|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.|