6 papers
Efficient and flexible estimation of natural mediation effects under intermediate confounding and monotonicity constraints
Kara E. Rudolph, Ivan Diaz
Natural direct and indirect effects are mediational estimands that decompose the average treatment effect and describe how outcomes would be affected by contrasting levels of a tre…
When the ends don't justify the means: Learning a treatment strategy to prevent harmful indirect effects
Kara E. Rudolph, Ivan Diaz
There is a growing literature on finding so-called optimal treatment rules, which are rules by which to assign treatment to individuals based on an individual's characteristics, su…
Efficiently transporting causal (in)direct effects to new populations under intermediate confounding and with multiple mediators
Kara E. Rudolph, Ivan Diaz
The same intervention can produce different effects in different sites. Transport mediation estimators can estimate the extent to which such differences can be explained by differe…
Non-parametric efficient causal mediation with intermediate confounders
Iván Díaz, Nima S. Hejazi, Kara E. Rudolph +1
Interventional effects for mediation analysis were proposed as a solution to the lack of identifiability of natural (in)direct effects in the presence of a mediator-outcome confoun…
Transporting stochastic direct and indirect effects to new populations
Kara E Rudolph, Jonathan Levy, Mark J van der Laan
Transported mediation effects may contribute to understanding how and why interventions may work differently when applied to new populations. However, we are not aware of any estim…
Complier stochastic direct effects: identification and robust estimation
Kara E Rudolph, Oleg Sofrygin, Mark J van der Laan
Mediation analysis is critical to understanding the mechanisms underlying exposure-outcome relationships. In this paper, we identify the instrumental variable (IV)-direct effect of…