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Understanding AIPW
July 19, 2022, 1:39 p.m. | Matteo Courthoud
Towards Data Science - Medium towardsdatascience.com
CAUSAL DATA SCIENCE
An introduction to doubly-robust estimation of conditional average treatment effects (CATE)
Cover, image by my amazing friend Chiara AinaWhen estimating causal effects, the gold standard is randomized controlled trials or AB tests. By randomly exposing units to a treatment, we make sure that individuals in both groups are comparable, on average, and any difference we observe can be attributed to the treatment effect alone.
However, often the treatment and control groups are not perfectly comparable …
causal-data-science causal inference data science editors pick statistics understanding
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