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.
Identification and estimation of causal effects under treatment-assigned- at-visit interventions in continuous time.In preparation, page 823–843, August 2026
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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.