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Statistical methods to support diagnosis of childhood tuberculosis in the absence of a gold-standard reference

Statistical methods to support diagnosis of childhood tuberculosis in the absence of a gold-standard reference
在缺乏金标准参考的情况下支持儿童结核病诊断的统计方法
批准号：
305859
负责人：
Dendukuri Nandini
金额：
$18.72万
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：
2014
资助国家：
加拿大
项目状态：
已结题
起止时间：
2014-03-01 至 2017-03-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=305859&lang=en
关键词：
Childhood Tuberculosis Diagnosis Diagnostic Model Imperfect Diagnostic Tests Incremental Value Latent Class Analysis Statistical Methods Test Accuracy

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中文摘要
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英文摘要
For many diseases (including many infectious diseases and mental illnesses) lack of a perfect gold-standard test makes disease diagnosis and evaluation of new diagnostic tests challenging. We propose to develop statistical methods needed for the developm
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Evaluating diagnostic accuracy of tests and decision rules in the absence of a perfect reference test: Application to extrapulmonary tuberculosis
Development of statistical methods for meta-analysis of tuberculosis diagnostic studies
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