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Developing Statistical Tools and Visualization Methods for Understanding Heterogeneity in Distributed Networks: Applications to COVID-19 and Diabetes

Developing Statistical Tools and Visualization Methods for Understanding Heterogeneity in Distributed Networks: Applications to COVID-19 and Diabetes
开发统计工具和可视化方法来理解分布式网络中的异质性：在 COVID-19 和糖尿病中的应用
批准号：
468555
负责人：
Platt Robert W
金额：
$35.39万
依托单位：
Lady Davis Institute for Medical Research (Mtl)
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2022
资助国家：
加拿大
项目状态：
未结题
起止时间：
2022-09-01 至 2025-09-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=468555&lang=en
关键词：
Covid-19 Distributed Networks Effect Measure Modification Epidemiology Heterogeneity Methods Development Observational Studies Real-World Data

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加拿大药物效应研究观察网络（hocDES）的科学家们已经创造了联合收割机结合加拿大各省、英国和美国的结果的方法，以快速评估药物的安全性和有效性，
英文摘要
Scientists at the Canadian Observational Network for Drug Effect Studies (CNODES) have created ways to combine results from separate Canadian provinces, the United Kingdom, and the United States to rapidly assess the safety and effectiveness of drugs whil
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