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:
|December 10–12, 2019||New York, NY, USA||3-Day Introductory Course|
|February 5–7, 2020||Singapore||3-Day Introductory Course|
|February 10–12, 2020||Sydney, NSW, Australia||3-Day Introductory Course|
|October 5–7, 2020||Toronto, ON, Canada||3-Day Introductory Course|
|October 13–15, 2020||Toronto, ON, Canada||3-Day Advanced Course|
Seminars, Webinars, and Conferences
|November 22, 2019
2 p.m. – 5 p.m. (EST, UTC-05)
|Free Seminar in New York City||Judicial Reasoning, Bayes' Rule, and Artificial Intelligence (3-Hour Seminar)
|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.|