This work establishes identification conditions and marginal g-formulas for causal effects under dynamic treatment regimes in marked point process data by adapting discrete-time causal assumptions via martingale theory.
Effects of multiple interventions.Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors, 1:2191–2230, 2004
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On causal inference with marked point process data
This work establishes identification conditions and marginal g-formulas for causal effects under dynamic treatment regimes in marked point process data by adapting discrete-time causal assumptions via martingale theory.