273 citations · 856 across the 22 of their papers we have counts for
7 papers · 1 filter
On the identification of individual principal stratum direct, natural direct and pleiotropic effects without cross world independence assumptions
Jaffer M. Zaidi, Tyler J. VanderWeele
The analysis of natural direct and principal stratum direct effects has a controversial history in statistics and causal inference as these effects are commonly identified with eit…
Instrumental variables as bias amplifiers with general outcome and confounding
Peng Ding, Tyler VanderWeele, James Robins
Drawing causal inference with observational studies is the central pillar of many disciplines. One sufficient condition for identifying the causal effect is that the treatment-outc…
Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confounding
Peng Ding, Tyler J. VanderWeele
It is often of interest to decompose a total effect of an exposure into the component that acts on the outcome through some mediator and the component that acts independently throu…
The Differential Geometry of Homogeneity Spaces Across Effect Scales
Peng Ding, Tyler J. VanderWeele
If an effect measure is more homogeneous than others, then its value is more likely to be stable across different subgroups or subpopulations. Therefore, it is of great importance…
Sensitivity Analysis Without Assumptions
Peng Ding, Tyler VanderWeele
Unmeasured confounding may undermine the validity of causal inference with observational studies. Sensitivity analysis provides an attractive way to partially circumvent this issue…
General theory for interactions in sufficient cause models with dichotomous exposures
Tyler J. VanderWeele, Thomas S. Richardson
The sufficient-component cause framework assumes the existence of sets of sufficient causes that bring about an event. For a binary outcome and an arbitrary number of binary causes…