Loh, W. W., Moerkerke B., Loeys T., and Vansteelandt S. (2019).
Disentangling indirect effects through multiple mediators whose causal structure is unknown.
Loh, W. W., Moerkerke B., Loeys T., Poppe L., Crombez G., and Vansteelandt S. (2019).
Estimation of controlled direct effects in longitudinal mediation analyses with latent variables in randomised studies.
Multivariate Behavioral Research. Accepted for publication.
Loh, W. W., Richardson, T. S., and Robins, J. M. (2017).
An apparent paradox explained.
Statistical Science, 32(3), 356-361.
Loh, W. W., and Richardson, T. S. (2015).
A finite population likelihood ratio test of the sharp null hypothesis for compliers.
In Thirty-First Conference on Uncertainty in Artificial Intelligence.
Loh, W. W., and Richardson, T. S. (2013).
A finite population test of the sharp null hypothesis for compliers.
In UAI Workshop on Approaches to Causal Structure Learning, 15 July, Bellevue, Washington.
We think in terms of what would happen (potential outcomes), and what could have happened (counterfactuals). The idea of simulating potential outcomes is nicely described in this episode of the TV show Person of Interest: If-Then-Else.