Causal Inference Under Interference

Define causal estimands in the presence of interference (SUTVA violations) using the potential outcomes framework in the triadic context.

Describe how one person's 'treatment' (e.g., an activity) can affect another person's outcome, thus violating the 'no interference' assumption.

Adapt backdoor and frontdoor adjustment strategies to account for confounders operating across multiple perspectives simultaneously.

Conduct a sensitivity analysis to assess the robustness of causal conclusions to potential unmeasured confounding within the triadic structure.