Combining observational and experimental data for causal inference considering data privacy

Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data privacy considerations, so one researcher may not have access to both experimental and observational data. Nonetheless, a s...

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Veröffentlicht in:	arXiv.org 2024-08
Hauptverfasser:	Mann, Charlotte Z, Sales, Adam C, Gagnon-Bartsch, Johann A
Format:	Artikel
Sprache:	eng
Schlagworte:	Constraining Estimates Inference Organizations Privacy
Online-Zugang:	Volltext
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