Taking causal inference to the extreme!
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Updated
Dec 17, 2024 - Julia
Taking causal inference to the extreme!
The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple treatment/intervention options exist. The package is still under development.
A repo with functions for building various COMs and GCOMs quickly.
This project aims to implement meta machine learning algorithms for causal inference
Senior thesis studying the Bayesian approach to hyperparameter tuning for meta-learners in CATE estimation.
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