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BayesiaLab Seminar

Free Seminar

Health Economics and Public Policy Research with Bayesian Networks

NYU Kimmel Center, 60 Washington Square South, Room, New York, NY 10012
Thursday, November 15, 2018, 1 p.m. – 4 p.m.

Eventbrite - Free Seminar in New York City: Health Economics and Public Policy Research with Bayesian Networks

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.

Preliminary Seminar Materials

Seminar Registration

 

2018 BayesiaLab Conference