research
∙
07/04/2023
A Double Machine Learning Approach to Combining Experimental and Observational Data
Experimental and observational studies often lack validity due to untest...
share
research
∙
02/23/2023
From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference
Our goal is to produce methods for observational causal inference that a...
research
∙
11/03/2022
Are Synthetic Control Weights Balancing Score?
In this short note, I outline conditions under which conditioning on Syn...
research
∙
03/09/2022
Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It
Many fundamental problems affecting the care of critically ill patients ...
research
∙
02/09/2022
Evaluating Causal Inference Methods
The fundamental challenge of drawing causal inference is that counterfac...
research
∙
04/07/2020
Causal Relational Learning
Causal inference is at the heart of empirical research in natural and so...
research
∙
11/18/2018
