Develops stochastic policies and single-basis-function modification for causal inference on functional treatments, proves asymptotic normality and rate double robustness, and applies to NHANES physical activity and mortality data.
(2024), ‘Causality for complex continuous-time functional longitudinal studies with dy- namic treatment regimes’,arXiv preprint arXiv:2406.06868
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Derives the efficient influence function for incremental causal effects of intervening on the intensity of time to treatment and provides an ML-accommodating estimator with fast convergence and valid confidence bands.
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Causal Inference for Functional Treatments with Stochastic Policies
Develops stochastic policies and single-basis-function modification for causal inference on functional treatments, proves asymptotic normality and rate double robustness, and applies to NHANES physical activity and mortality data.
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Efficient Inference for Incremental Causal Effects of Time to Treatment
Derives the efficient influence function for incremental causal effects of intervening on the intensity of time to treatment and provides an ML-accommodating estimator with fast convergence and valid confidence bands.