Using Individual Patient Data Meta-Analyses to Develop Individual Prediction Models for Depression Screening
使用个体患者数据荟萃分析开发抑郁症筛查的个体预测模型
基本信息
- 批准号:365165
- 负责人:
- 金额:$ 14.57万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Operating Grants
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-06-01 至 2019-06-01
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Depression screening is controversial, and the Canadian Task Force on Preventive Health Care recommends against depression screening. A major concern is that depression screening tests are not sufficiently accurate. All existing studies have used a cutoff
抑郁症筛查是有争议的,加拿大预防保健工作组建议不要进行抑郁症筛查。一个主要的担忧是抑郁症筛查测试不够准确。所有现有的研究都使用了截止值
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Benedetti Andrea其他文献
Benedetti Andrea的其他文献
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{{ truncateString('Benedetti Andrea', 18)}}的其他基金
Recovering from the COVID-19 Pandemic, Informing Future Public Health Crises, and Building a Global Evidence Base for Mental Health Research: A Systematic Review of COVID-19-related Mental Health
从 COVID-19 大流行中恢复,为未来的公共卫生危机提供信息,并为心理健康研究建立全球证据基础:对 COVID-19 相关心理健康的系统回顾
- 批准号:
494268 - 财政年份:2023
- 资助金额:
$ 14.57万 - 项目类别:
Operating Grants
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 - 财政年份:2021
- 资助金额:
$ 14.57万 - 项目类别:
Operating Grants
Mental Health during the COVID-19 Pandemic: An Ongoing Living Systematic Review of Mental Health Burden and Intervention Effectiveness to Inform Management Strategies During and Post-COVID-19
COVID-19 大流行期间的心理健康:对心理健康负担和干预有效性进行持续的实时系统审查,为 COVID-19 期间和之后的管理策略提供信息
- 批准号:
448865 - 财政年份:2021
- 资助金额:
$ 14.57万 - 项目类别:
Operating Grants
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 - 财政年份:2020
- 资助金额:
$ 14.57万 - 项目类别:
Operating Grants
Depression Trajectories in Pregnant and Postpartum Women: An Individual Participant Data Meta-Analysis
孕妇和产后妇女的抑郁轨迹:个体参与者数据荟萃分析
- 批准号:
421808 - 财政年份:2019
- 资助金额:
$ 14.57万 - 项目类别:
Operating Grants
Diagnostic Accuracy of the Patient Health Questionnaire-9 for Detecting Major Depression: An Updated Systematic Review and Independent Participant Data Meta-analysis
用于检测重度抑郁症的患者健康问卷 9 的诊断准确性:更新的系统评价和独立参与者数据荟萃分析
- 批准号:
388580 - 财政年份:2018
- 资助金额:
$ 14.57万 - 项目类别:
Operating Grants
Improving Depression Screening in Geriatric Patients by Reducing Bias and Generating Individualized Accuracy Estimates: An Individual Patient Data Meta-Analysis of the Geriatric Depression Scale (GDS)
通过减少偏差和生成个体化准确度估计来改善老年患者的抑郁症筛查:老年抑郁量表 (GDS) 的个体患者数据荟萃分析
- 批准号:
369532 - 财政年份:2017
- 资助金额:
$ 14.57万 - 项目类别:
Operating Grants
Statistical challenges in individual patient data meta analysis
个体患者数据荟萃分析的统计挑战
- 批准号:
290977 - 财政年份:2013
- 资助金额:
$ 14.57万 - 项目类别:
Operating Grants
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