3 citations · 4 across the 2 of their papers we have counts for
6 papers
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…
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…
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…
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…
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…
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…