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stat.ME2024
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding
Simon Ferreira, Charles K. Assaad
Understanding causal relations in dynamic systems is essential in epidemiology. While causal inference methods have been extensively studied, they often rely on fully specified cau…
stat.ME2024
Towards identifiability of micro total effects in summary causal graphs with latent confounding: extension of the front-door criterion
Charles K. Assaad
Conducting experiments to estimate total effects can be challenging due to cost, ethical concerns, or practical limitations. As an alternative, researchers often rely on causal gra…