Bayesian latent class models to estimate diagnostic test accuracies of COVID-19 tests.
作者信息
Hartnack Sonja, Eusebi Paolo, Kostoulas Polychronis
机构信息
Section of Epidemiology, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.
Health Planning Service, Regional Health Authority of Umbria, Perugia, Italy.
出版信息
J Med Virol. 2021 Feb;93(2):639-640. doi: 10.1002/jmv.26405. Epub 2020 Aug 25.
Abstract
摘要
相似文献
1
Bayesian latent class models to estimate diagnostic test accuracies of COVID-19 tests.用于估计新冠病毒检测诊断测试准确性的贝叶斯潜在类别模型。
J Med Virol. 2021 Feb;93(2):639-640. doi: 10.1002/jmv.26405. Epub 2020 Aug 25.
2
Two-phase Bayesian latent class analysis to assess diagnostic test performance in the absence of a gold standard: COVID-19 serological assays as a proof of concept.在缺乏金标准的情况下评估诊断测试性能的两阶段贝叶斯潜在类别分析：以新冠病毒血清学检测作为概念验证
Vox Sang. 2023 Dec;118(12):1069-1077. doi: 10.1111/vox.13545. Epub 2023 Oct 18.
3
Estimating sensitivity and specificity of diagnostic tests using latent class models that account for conditional dependence between tests: a simulation study.利用考虑到测试之间条件依赖性的潜在类别模型估计诊断测试的灵敏度和特异性：一项模拟研究。
BMC Med Res Methodol. 2023 Mar 10;23(1):58. doi: 10.1186/s12874-023-01873-0.
4
STARD-BLCM: Standards for the Reporting of Diagnostic accuracy studies that use Bayesian Latent Class Models.STARD-BLCM：使用贝叶斯潜在类别模型的诊断准确性研究报告标准。
Prev Vet Med. 2017 Mar 1;138:37-47. doi: 10.1016/j.prevetmed.2017.01.006. Epub 2017 Jan 12.
5
Evaluation of diagnostic test procedures for SARS-CoV-2 using latent class models.应用潜在类别模型评价 SARS-CoV-2 的诊断检测方法。
J Med Virol. 2022 Oct;94(10):4754-4761. doi: 10.1002/jmv.27943. Epub 2022 Jun 23.
6
Bayesian hierarchical latent class models for estimating diagnostic accuracy.贝叶斯层次潜在类别模型估计诊断准确性。
Stat Methods Med Res. 2020 Apr;29(4):1112-1128. doi: 10.1177/0962280219852649. Epub 2019 May 30.
7
Bayesian latent class analysis when the reference test is imperfect.贝叶斯潜在类别分析在参考测试不完善时的应用。
Rev Sci Tech. 2021 Jun;40(1):271-286. doi: 10.20506/rst.40.1.3224.
8
Gold standards are out and Bayes is in: Implementing the cure for imperfect reference tests in diagnostic accuracy studies.金标准已过时，贝叶斯方法正流行：在诊断准确性研究中实施对不完善参考测试的补救措施。
Prev Vet Med. 2019 Jun 1;167:113-127. doi: 10.1016/j.prevetmed.2019.01.010. Epub 2019 Mar 18.
9
On the robustness of latent class models for diagnostic testing with no gold standard.无金标准诊断测试中潜类别模型稳健性研究
Stat Med. 2021 Sep 30;40(22):4751-4763. doi: 10.1002/sim.8999. Epub 2021 May 14.
10
Latent class models in diagnostic studies when there is no reference standard--a systematic review.无参考标准诊断研究中潜类别模型的系统评价。
Am J Epidemiol. 2014 Feb 15;179(4):423-31. doi: 10.1093/aje/kwt286. Epub 2013 Nov 21.
引用本文的文献
1
Estimating the number of probable new SARS-CoV-2 infections among tested subjects from the number of confirmed cases.从确诊病例数估计检测对象中可能的新 SARS-CoV-2 感染人数。
BMC Med Res Methodol. 2023 Nov 17;23(1):272. doi: 10.1186/s12874-023-02077-2.
2
Evaluation of diagnostic test procedures for SARS-CoV-2 using latent class models.应用潜在类别模型评价 SARS-CoV-2 的诊断检测方法。
J Med Virol. 2022 Oct;94(10):4754-4761. doi: 10.1002/jmv.27943. Epub 2022 Jun 23.
3
Diagnostic accuracy of three commercially available one step RT-PCR assays for the detection of SARS-CoV-2 in resource limited settings.三种市售一步法 RT-PCR 检测试剂盒在资源有限环境下检测 SARS-CoV-2 的诊断准确性。
PLoS One. 2022 Jan 20;17(1):e0262178. doi: 10.1371/journal.pone.0262178. eCollection 2022.
4
Performance of Three Tests for SARS-CoV-2 on a University Campus Estimated Jointly with Bayesian Latent Class Modeling.三种 SARS-CoV-2 检测方法在大学校园的表现，通过贝叶斯潜在类别建模联合估计。
Microbiol Spectr. 2022 Feb 23;10(1):e0122021. doi: 10.1128/spectrum.01220-21. Epub 2022 Jan 19.
本文引用的文献
1
Diagnostic Accuracy Estimates for COVID-19 Real-Time Polymerase Chain Reaction and Lateral Flow Immunoassay Tests With Bayesian Latent-Class Models.使用贝叶斯潜在类别模型对新冠病毒实时聚合酶链反应和侧向流免疫分析检测的诊断准确性估计
Am J Epidemiol. 2021 Aug 1;190(8):1689-1695. doi: 10.1093/aje/kwab093.
2
Should RT-PCR be considered a gold standard in the diagnosis of COVID-19?逆转录聚合酶链反应（RT-PCR）应被视为2019冠状病毒病（COVID-19）诊断的金标准吗？
J Med Virol. 2020 Nov;92(11):2312-2313. doi: 10.1002/jmv.25996. Epub 2020 Jul 14.
3
Performance of VivaDiag COVID-19 IgM/IgG Rapid Test is inadequate for diagnosis of COVID-19 in acute patients referring to emergency room department.VivaDiag新冠病毒IgM/IgG快速检测在用于急诊科急性患者的新冠病毒诊断时表现不佳。
J Med Virol. 2020 Oct;92(10):1724-1727. doi: 10.1002/jmv.25800. Epub 2020 Apr 8.
4
STARD-BLCM: Standards for the Reporting of Diagnostic accuracy studies that use Bayesian Latent Class Models.STARD-BLCM：使用贝叶斯潜在类别模型的诊断准确性研究报告标准。
Prev Vet Med. 2017 Mar 1;138:37-47. doi: 10.1016/j.prevetmed.2017.01.006. Epub 2017 Jan 12.
5
Estimating disease prevalence in a Bayesian framework using probabilistic constraints.在贝叶斯框架下使用概率约束估计疾病患病率。
Epidemiology. 2006 Mar;17(2):145-53. doi: 10.1097/01.ede.0000198422.64801.8d.
6
The architecture of diagnostic research.诊断研究的架构
BMJ. 2002 Mar 2;324(7336):539-41. doi: 10.1136/bmj.324.7336.539.
Zotero 插件