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...
| 出版年: | Scientific Reports |
|---|---|
| 主要な著者: | Tomoru Nakayama, Yuji Kawamata, Akihiro Toyoda, Akira Imakura, Rina Kagawa, Masaru Sanuki, Ryoya Tsunoda, Kunihiro Yamagata, Tetsuya Sakurai, Yukihiko Okada |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Nature Portfolio
2025-03-01
|
| 主題: | |
| オンライン・アクセス: | https://doi.org/10.1038/s41598-025-93509-0 |
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