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propensity-score-blocking

topic1 events
papersSEP 10 04:00 UTC

New Method Estimates Treatment Effects Under Differential Privacy

A researcher proposes a technique for estimating average treatment effects in observational studies while preserving differential privacy. The approach uses propensity score blocking to group similar subjects, limiting how much any individual's data influences the result. The preprint is posted on arXiv and is categorized under machine learning.

privacy/differential-privacy/causal-inference/research