Data collaboration for causal inference from limited medical testing and medication data

Abstract Observational studies enable causal inferences when randomized controlled trials (RCTs) are not feasible. However, integrating sensitive medical data across multiple institutions introduces significant privacy challenges. The data collaboration quasi-experiment (DC-QE) framework addresses t...

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發表在:	Scientific Reports
Main Authors:	Tomoru Nakayama, Yuji Kawamata, Akihiro Toyoda, Akira Imakura, Rina Kagawa, Masaru Sanuki, Ryoya Tsunoda, Kunihiro Yamagata, Tetsuya Sakurai, Yukihiko Okada
格式:	Article
語言:	英语
出版:	Nature Portfolio 2025-03-01
主題:	Propensity score matching Privacy-preserving causal inference Data collaboration framework Distributed data
在線閱讀:	https://doi.org/10.1038/s41598-025-93509-0