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03/01/2023
Causalvis: Visualizations for Causal Inference
Causal inference is a statistical paradigm for quantifying causal effect...
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11/02/2022
Propensity score models are better when post-calibrated
Theoretical guarantees for causal inference using propensity scores are ...
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07/18/2019
A discriminative approach for finding and characterizing positivity violations using decision trees
The assumption of positivity in causal inference (also known as common s...
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06/02/2019
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference
Real world observational data, together with causal inference, allow the...
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02/14/2018
