9 citations · 59 across the 32 of their papers we have counts for
32 papers
Causal Inference for All: Marginal Estimands for Outcomes Truncated by Death
Ruixuan Zhao, Mats Stensrud, Linbo Wang
In longitudinal studies, outcomes of interest are often truncated by death, meaning that they are only observed or well-defined conditional on intercurrent events such as survival.…
Estimating the Wasserstein barycenter of one-dimensional distributions under sparse sampling
James Peng, Florian Stijven, Linbo Wang +1
We study distributional data under sparse sampling where each unit is represented by a probability distribution on the real line observed only through a small i.i.d.~sample. A natu…
A Distributional Perspective on Pearl's Causal Hierarchy: From Marginal to Joint and Individualized Potential Outcomes
Peng Wu, Linbo Wang
Pearl's causal hierarchy is a foundational lens for formulating causal questions and is most often discussed within the framework of structural causal models. We recast the hierarc…
Causal Inference: A Tale of Three Frameworks
Linbo Wang, Thomas Richardson, James Robins
Causal inference is a central goal across many scientific disciplines. Over the past several decades, three major frameworks have emerged to formalize causal questions and guide th…
Average Treatment Effect Estimation with Non-binary Instrumental Variables
Mei Dong, Lin Liu, Dingke Tang +3
Non-binary instrumental variables, especially continuous ones, are common in practice. A binary recoding induces a Wald ratio but may discard useful variation and reduce efficiency…
Causal effect of the infield shift in the MLB
Sonia Markes, Linbo Wang, Jessica Gronsbell +1
The infield shift has been increasingly used as a defensive strategy in baseball in recent years. Along with the upward trend in its usage, the notoriety of the shift has grown, as…