activity
20182024
most citedNon-linear Mediation Analysis with High-dimensional Mediators whose Causal Structure is Unknown

35 citations · 89 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2024

Comparison of g-estimation approaches for handling symptomatic medication at multiple timepoints in Alzheimer's Disease with a hypothetical strategy

Florian Lasch, Lorenzo Guizzaro, Wen Wei Loh

For handling intercurrent events in clinical trials, one of the strategies outlined in the ICH E9(R1) addendum targets the hypothetical scenario of non-occurrence of the intercurre…

stat.ME2021★ 3 cited

Sensitivity Analysis for Unmeasured Confounding via Effect Extrapolation

Wen Wei Loh, Stijn Vansteelandt

Inferring the causal effect of a non-randomly assigned exposure on an outcome requires adjusting for common causes of the exposure and outcome to avoid biased conclusions. Notwiths…

stat.ME2020★ 22 cited

Confounder selection strategies targeting stable treatment effect estimators

Wen Wei Loh, Stijn Vansteelandt

Inferring the causal effect of a treatment on an outcome in an observational study requires adjusting for observed baseline confounders to avoid bias. However, adjusting for all ob…

stat.ME2020★ 35 cited

Non-linear Mediation Analysis with High-dimensional Mediators whose Causal Structure is Unknown

Wen Wei Loh, Beatrijs Moerkerke, Tom Loeys +1

With multiple potential mediators on the causal pathway from a treatment to an outcome, we consider the problem of decomposing the effects along multiple possible causal path(s) th…

stat.AP2019★ 1 cited

Identification of causal intervention effects under contagion

Xiaoxuan Cai, Wen Wei Loh, Forrest W. Crawford

Defining and identifying causal intervention effects for transmissible infectious disease outcomes is challenging because a treatment -- such as a vaccine -- given to one individua…

stat.ME2019★ 19 cited

Heterogeneous Indirect Effects for Multiple Mediators using Interventional Effect Models

Wen Wei Loh, Beatrijs Moerkerke, Tom Loeys +1

Decomposing an exposure effect on an outcome into separate natural indirect effects through multiple mediators requires strict assumptions, such as correctly postulating the causal…

stat.ME2018★ 9 cited

Randomization inference with general interference and censoring

Wen Wei Loh, Michael G. Hudgens, John D. Clemens +2

Interference occurs between individuals when the treatment (or exposure) of one individual affects the outcome of another individual. Previous work on causal inference methods in t…