Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
Many practical problems involve estimating low dimensional statistical quantities with high-
dimensional models and datasets. Several approaches address these estimation tasks …
dimensional models and datasets. Several approaches address these estimation tasks …
Super Ensemble Learning Using the Highly-Adaptive-Lasso
We consider estimation of a functional parameter of a realistically modeled data distribution
based on independent and identically distributed observations. Suppose that the true …
based on independent and identically distributed observations. Suppose that the true …
General targeted machine learning for modern causal mediation analysis
Causal mediation analyses investigate the mechanisms through which causes exert their
effects, and are therefore central to scientific progress. The literature on the non-parametric …
effects, and are therefore central to scientific progress. The literature on the non-parametric …
Robust Evaluation of Longitudinal Surrogate Markers with Censored Data
The development of statistical methods to evaluate surrogate markers is an active area of
research. In many clinical settings, the surrogate marker is not simply a single measurement …
research. In many clinical settings, the surrogate marker is not simply a single measurement …
[PDF][PDF] Sequential Ignorability and Dismissible Treatment Components to Identify Mediation Effects
Mediation analysis is a useful tool to study the mechanism of how a treatment exerts effects
on the outcome. Classical mediation analysis requires a sequential ignorability assumption …
on the outcome. Classical mediation analysis requires a sequential ignorability assumption …