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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：
444496
负责人：
Benedetti Andrea
金额：
$20.34万
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：
2021
资助国家：
加拿大
项目状态：
已结题
起止时间：
2021-04-01 至 2024-04-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=444496&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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中文摘要
翻译
抑郁症是一种慢性致残疾病，是全球导致残疾的主要原因。然而，大多数患有抑郁症的加拿大人没有得到足够的照顾。因此，开发和实施有效的抑郁症治疗方案具有重要的现实意义
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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