3 citations · 8 across the 17 of their papers we have counts for
4 papers · 1 filter
Identification and Estimation of Joint Potential Outcome Distributions from a Single Study
Zach Shahn, David Madigan
Most causal inference methods focus on estimating marginal average treatment effects, but many important causal estimands depend on the joint distribution of potential outcomes, in…
Structural Nested Mean Models for Modified Treatment Policies
Zach Shahn
There is a growing literature on estimating effects of treatment strategies based on the natural treatment that would have been received in the absence of intervention, often dubbe…
A Note on The Rationale Behind Using Parental Longevity as a Proxy in Mendelian Randomization Studies
Zach Shahn, Rehana Rasul, C. Mary Schooling
In many cohorts (such as the UK Biobank) on which Mendelian Randomization studies are routinely performed, data on participants' longevity is inadequate as the majority of particip…
Using causal diagrams to assess parallel trends in difference-in-differences studies
Audrey Renson, Oliver Dukes, Zach Shahn
Difference-in-differences (DID) is popular because it can allow for unmeasured confounding when the key assumption of parallel trends holds. However, there exists little guidance o…