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Updated: Jun 17, 2025

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crossnma:一个R包,通过网络元分析和网络元回归来综合交叉设计证据和交叉格式数据

Tasnim Hamza1,2, Guido Schwarzer3, Georgia Salanti4

  • 1Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland. tasnim.hamza@unibe.ch.

BMC medical research methodology
|August 5, 2024
PubMed
概括

该R包crossnma集成了来自随机临床试验 (RCT) 和非随机研究 (NRS) 的个人参与者数据 (IPD) 和汇总数据 (AD),用于强大的网络元分析 (NMA) 和网络元回归 (NMR). 这有助于综合综合综合的证据.

关键词:
网络元分析 网络元分析网络的元回归.观察性研究是指观察性研究.在R包中,R包是R包.现实世界的证据.偏见的风险 偏见的风险

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