Derives the efficient influence function and doubly robust estimators for the local average treatment effect on the treated in instrumented DiD designs with staggered exposure and covariates.
Mark J van der Laan and James M Robins.Unified methods for censored longitudinal data and causality
3 Pith papers cite this work. Polarity classification is still indexing.
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A nonparametric regression discontinuity approach for censored survival outcomes that applies doubly robust censoring corrections and integrates with standard RD estimators.
A new estimation method for Michaelis-Menten models handles varying variance and clustered data through root-finding and plug-in updates, improving inference in simulations and real enzyme data.
citing papers explorer
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Doubly Robust Instrumented Difference-in-Differences
Derives the efficient influence function and doubly robust estimators for the local average treatment effect on the treated in instrumented DiD designs with staggered exposure and covariates.
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Nonparametric Regression Discontinuity Designs with Survival Outcomes
A nonparametric regression discontinuity approach for censored survival outcomes that applies doubly robust censoring corrections and integrates with standard RD estimators.
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Variance-Aware Estimation and Inference for Michaelis--Menten Models with Heteroscedastic Errors and Clustered Measurements
A new estimation method for Michaelis-Menten models handles varying variance and clustered data through root-finding and plug-in updates, improving inference in simulations and real enzyme data.