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Combining observational and experimental data for causal inference when considering data privacy
Simulations for methods combining experimental and observational data for causal inference when disclosure limiting transformations are applied to the observational data.
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Simulations exploring utility of combining privacy-transformed auxiliary data with experimental data for treatment effect estimation.