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Leveraging post-market big data using Integrative Statistical Methods: advancing Drug Safety and effectiveness research (The InStaMeDS Project)

Leveraging post-market big data using Integrative Statistical Methods: advancing Drug Safety and effectiveness research (The InStaMeDS Project)
使用综合统计方法利用上市后大数据：推进药物安全性和有效性研究（InStaMeDS 项目）
批准号：
327713
负责人：
Beyene Joseph
金额：
$7.29万
依托单位：
McMaster University
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2015
资助国家：
加拿大
项目状态：
已结题
起止时间：
2015-01-01 至 2016-01-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=327713&lang=en
关键词：
Association Rules Integrative Analysis Post-Market Drug Safety Sparse Canonical Correlation Analysis Toxicogenomics

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中文摘要
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英文摘要
Knowledge gained about drug safety and effectiveness from clinical trials, though essential, does not fully extend to the population. Post-market follow-up is critical to understand long-term effects of drugs and there is a wealth of publicly available da
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Advancing methodology for knowledge synthesis of health outcomes using multivariate and robust modeling approaches: a series of empirical systematic reviews and simulation studies.
  • 批准号：
    285348
  • 项目类别：
    Operating Grants
  • 资助金额：
    $7.14万
  • 财政年份：
    2013
  • 负责人：
    Beyene Joseph
  • 依托单位：
    McMaster University
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