This course defines causation in biomedical research, describes how emulating a ‘target trial’ can clarify the question being addressed and guide analysis choices, introduces methods to make causal ...

Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) emotion ...

Causal discovery in the form of directed acyclic graph (DAG) structure learning finds causal relationships among features of sampled data and has been recognized as one of the most important problems ...

Rationale Estimating the causal effect of an intervention at individual level, also called individual treatment effect (ITE), may help in identifying response prior to the intervention. Objectives We ...

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