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Statistical Methodology for Prediction Modelling to Improve Depression Screening with Individualized Risk Estimates in the Context of Individual Participant Data Meta-analysis

Statistical Methodology for Prediction Modelling to Improve Depression Screening with Individualized Risk Estimates in the Context of Individual Participant Data Meta-analysis
预测建模的统计方法，在个体参与者数据荟萃分析的背景下通过个体化风险估计来改进抑郁症筛查
批准号：
438267
负责人：
Benedetti Andrea
金额：
$7.29万
依托单位：
Research Institute of the McGill University Health Centre
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2020
资助国家：
加拿大
项目状态：
已结题
起止时间：
2020-10-01 至 2021-10-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=438267&lang=en
关键词：
Depression Diagnostic Accuracy Individual Participant Data Meta-Analysis Meta-Analysis Personalized Risk Assessment Prediction Modelling Screening

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英文摘要
Depression is a chronic and disabling condition that is the leading global cause of life-years lived with disability. However, most Canadians with depression do not receive adequate care. Thus, the development and implementation of effective depression ma
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Statistical Methodology for Prediction Modelling to Improve Depression Screening with Individualized Risk Estimates in the Context of Individual Participant Data Meta-analysis
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