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Q3 2020 [Virtual Short Course] Causal Inference and Causal Diagrams in Big, Real-World Observational Data and Pragmatic Trials
Date(s):
July 30, 2020
Venue:Virtual ISPOR
505 Lawrence Sq Blvd
Lawrenceville, NJ 08648
Website:Not available
Fee(s):This event has a fee
Description:This course will introduce innovative causal inference approaches for the design and analysis of big real-world observational data and pragmatic trials. Topics include causal diagrams (DAGs), target trial emulation, and causal methods for time-independent confounding (multivariate regression, propensity scores) and time-dependent confounding (g-methods), illustrated using clinical case examples.
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