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Improving clinical decision making through Bayesian causal inference with irregularly observed longitudinal data

Improving clinical decision making through Bayesian causal inference with irregularly observed longitudinal data
通过不规则观察的纵向数据进行贝叶斯因果推理来改善临床决策
批准号：
365453
负责人：
Liu Kuan
金额：
$7.65万
依托单位：
Hospital for Sick Children (Toronto)
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2016
资助国家：
加拿大
项目状态：
已结题
起止时间：
2016-10-01 至 2019-10-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=365453&lang=en
关键词：
Bayesian Causal Inference Biostatistics Methodology Complex Registry And Administrative Databases Intervention Safety And Efficacy Studies Longitudinal Data Marginal Structural Models Multiple Outputation Procedure Observational Studies

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中文摘要
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英文摘要
There is a wealth of observational data available through large administrative databases, with the potential to enable the assessment of rare outcomes or long-term effects that might not have been observable in clinical trials owing to their limited size
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