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06/19/2023
Subgroup Difference in Differences to Identify Effect Modification Without a Control Group
Suppose it is of interest to characterize effect heterogeneity of an int...
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05/03/2023
Efficient estimation of weighted cumulative treatment effects by double/debiased machine learning
In empirical studies with time-to-event outcomes, investigators often le...
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07/29/2022
Bias Formulas for Violations of Proximal Identification Assumptions
Causal inference from observational data often rests on the unverifiable...
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07/26/2022
When Do Outcome Driven Treatments Break Parallel Trends?
Under what circumstances is it a threat to the parallel trends assumptio...
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04/21/2022
Structural Nested Mean Models Under Parallel Trends Assumptions
In this paper, we generalize methods in the Difference in Differences (D...
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04/08/2022
Bespoke Instrumental Variables for Causal Inference
Many proposals for the identification of causal effects in the presence ...
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05/01/2020
A Formal Causal Interpretation of the Case-Crossover Design
The case-crossover design (Maclure, 1991) is widely used in epidemiology...
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03/23/2020
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
Counterfactual prediction is a fundamental task in decision-making. G-co...
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08/27/2019
Efficient estimation of optimal regimes under a no direct effect assumption
We derive new estimators of an optimal joint testing and treatment regim...
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02/14/2019
