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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.

Advancing methodology for knowledge synthesis of health outcomes using multivariate and robust modeling approaches: a series of empirical systematic reviews and simulation studies.
使用多元和稳健的建模方法推进健康结果知识综合的方法：一系列实证系统评价和模拟研究。
批准号：
285348
负责人：
Beyene Joseph
金额：
$7.14万
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：
2013
资助国家：
加拿大
项目状态：
已结题
起止时间：
2013-04-01 至 2014-04-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=285348&lang=en
关键词：
Correlated Exposures Correlated Outcomes Dose - Response Meta-Analysis Multivariate Meta-Analysis Robust Meta-Analysis Statistical Methodology

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"Meta-analyses", or pooled averages, are used to summarize the effects of a variety of health care interventions or treatments on different health outcomes. Often, the same intervention may have effects on multiple outcomes, and when this is the case, sp
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Leveraging post-market big data using Integrative Statistical Methods: advancing Drug Safety and effectiveness research (The InStaMeDS Project)
  • 批准号：
    327713
  • 项目类别：
    Operating Grants
  • 资助金额：
    $7.29万
  • 财政年份：
    2015
  • 负责人：
    Beyene Joseph
  • 依托单位：
    McMaster University
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