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Detailed Information
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May 5, 2024
1:00pm - 5:00pm
Type: Short Course
Capacity: 97
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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