Estimating diagnostic accuracy without a gold standard: A continued controversy
Author:
Affiliation:
1. Department of Rehabilitation Science, George Mason University, Fairfax, Virginia, USA
2. Biostatistics Branch, Division of Cancer, Epidemiology, and Genetics, National Cancer Institute, Rockville, Maryland, USA
Publisher
Informa UK Limited
Subject
Pharmacology (medical),Pharmacology,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10543406.2016.1226334
Reference13 articles.
1. Imputation Approaches for Estimating Diagnostic Accuracy for Multiple Tests from Partially Verified Designs
2. A Cautionary Note on the Robustness of Latent Class Models for Estimating Diagnostic Error without a Gold Standard
3. On Estimating Diagnostic Accuracy From Studies With Multiple Raters and Partial Gold Standard Evaluation
4. Latent Class Modeling Approaches for Assessing Diagnostic Error without a Gold Standard: With Applications to p53 Immunohistochemical Assays in Bladder Tumors
5. Estimation of diagnostic test accuracy without full verification: a review of latent class methods
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Evaluation of Kato-Katz and multiplex quantitative polymerase chain reaction performance for clinical helminth infections in Thailand using a latent class analysis;Philosophical Transactions of the Royal Society B: Biological Sciences;2023-08-21
2. Accuracy of the Discriminatory Ability of Combined Fecal Microbiota Panel in the Early Detection of Patients with Colorectal Cancer;Journal of Gastrointestinal Cancer;2023-08-11
3. Sensitivity and Specificity of Diagnostic Algorithms of Preoperative Anemia;Southern Medical Journal;2023-08
4. Evaluation of the accuracy of the IDvet serological test for Mycoplasma bovis infection in cattle using latent class analysis of paired serum ELISA and quantitative real-time PCR on tonsillar swabs sampled at slaughter;PLOS ONE;2023-05-11
5. Reducing misclassification bias in severe malaria research;Cell Reports Medicine;2022-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3