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20242026
most citedLearning Optimal Dynamic Treatment Regimes from Longitudinal Data

4 citations · 8 across the 8 of their papers we have counts for

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5 papers · 2 filters

stat.ME2024

Longitudinal Generalizations of the Average Treatment Effect on the Treated for Multi-valued and Continuous Treatments

Herbert Susmann, Nicholas T. Williams, Kara E. Rudolph +1

The Average Treatment Effect on the Treated (ATT) is a common causal parameter defined as the average effect of a binary treatment among the subset of the population receiving trea…

stat.ME2024

Identification and estimation of mediational effects of longitudinal modified treatment policies

Brian Gilbert, Katherine L. Hoffman, Nicholas Williams +3

We demonstrate a comprehensive semiparametric approach to causal mediation analysis, addressing the complexities inherent in settings with longitudinal and continuous treatments, c…

stat.ME2024★ 4 cited

Learning Optimal Dynamic Treatment Regimes from Longitudinal Data

Nicholas T. Williams, Katherine L. Hoffman Iván Díaz, Kara E. Rudolph

Studies often report estimates of the average treatment effect. While the ATE summarizes the effect of a treatment on average, it does not provide any information about the effect…

stat.ME2024★ 1 cited

Recanting twins: addressing intermediate confounding in mediation analysis

Tat-Thang Vo, Nicholas Williams, Richard Liu +2

The presence of intermediate confounders, also called recanting witnesses, is a fundamental challenge to the investigation of causal mechanisms in mediation analysis, preventing th…

stat.ME2024

Two-Step Targeted Minimum-Loss Based Estimation for Non-Negative Two-Part Outcomes

Nicholas T. Williams, Richard Liu, Katherine L. Hoffman +3

Non-negative two-part outcomes are defined as outcomes with a density function that have a zero point mass but are otherwise positive. Examples, such as healthcare expenditure and…