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GitHub / jaabmar / kernel-test-bias

Implementation for the paper: "Hidden among subgroups: Detecting critical treatment effect bias in observational studies"

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaabmar%2Fkernel-test-bias

Stars: 1
Forks: 0
Open Issues: 0

License: mit
Language: Python
Repo Size: 32.2 KB
Dependencies: 9

Created: 2 months ago
Updated: 26 days ago
Last pushed: 26 days ago
Last synced: 26 days ago

Topics: causal-inference, epidemiology, healthcare, hidden-confounding, kernel-tests, machine-learning, observational-studies, randomized-trials, treatment-effect-estimation

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    Readme
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    Dependencies
    pyproject.toml pypi
    setup.py pypi