We propose a simple and general framework for nonparametric estimation o...
Comparison and contrast are the basic means to unveil causation and lear...
Gun violence is a major problem in contemporary American society. Howeve...
The linear regression model is widely used in the biomedical and social
...
We study counterfactual classification as a new tool for decision-making...
We study a new class of estimands in causal inference, which are the
sol...
The Finite Selection Model (FSM) was proposed and developed by Carl Morr...
Weighting methods are often used to generalize and transport estimates o...
Data sharing can improve hospital quality measurement, but sharing
patie...
Cardinality matching is a computational method for finding the largest
p...
The idea of covariate balance is at the core of causal inference. Invers...
We introduce profile matching, a multivariate matching method for random...
The original Finite Selection Model (FSM) was developed in the 1970s to
...
Motivated by the problem of measuring the quality of cancer care deliver...
In this paper, we derive and analyze the implied weights of linear regre...
Regression discontinuity designs are extensively used for causal inferen...
Matching methods are widely used for causal inference in observational
s...
What is the impact of an earthquake on the educational attainment of hig...