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stat.ME2025
Causal inference for calibrated scaling interventions on time-to-event processes
Helene Charlotte Wiese Rytgaard, Mark van der Laan
This work develops a flexible inferential framework for nonparametric causal inference in time-to-event settings, based on stochastic interventions defined through multiplicative s…
stat.ME2025
Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models
Yi Li, Sky Qiu, Zeyi Wang +1
We address the challenge of performing Targeted Maximum Likelihood Estimation (TMLE) after an initial Highly Adaptive Lasso (HAL) fit. Existing approaches that utilize the data-ada…
stat.ME2025
Score-Preserving Targeted Maximum Likelihood Estimation
Noel Pimentel, Alejandro Schuler, Mark van der Laan
Targeted maximum likelihood estimators (TMLEs) are asymptotically optimal among regular, asymptotically linear estimators. In small samples, however, we may be far from "asymptopia…