A Bayesian Latent Class Model to Predict Kidney Obstruction in the Absence of Gold Standard-Reference-Cited by-同舟云学术

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A Bayesian Latent Class Model to Predict Kidney Obstruction in the Absence of Gold Standard

Published:2020-01-06 Issue:532 Volume:115 Page:1645-1663
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Chang Changgee¹^ORCID,Jang Jeong Hoon²^ORCID,Manatunga Amita²,Taylor Andrew T.³,Long Qi¹

Affiliation:

1. Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA

2. Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA

3. Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA

Funder

NIH

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2019.1689983

Reference25 articles.

1. Bayesian Analysis of Binary and Polychotomous Response Data

2. Random Effects Modeling Approaches for Estimating ROC Curves from Repeated Ordinal Tests without a Gold Standard

3. A Cautionary Note on the Robustness of Latent Class Models for Estimating Diagnostic Error without a Gold Standard

4. Latent Class Modeling Approaches for Assessing Diagnostic Error without a Gold Standard: With Applications to p53 Immunohistochemical Assays in Bladder Tumors

5. Key Variables for Interpreting 99mTc-Mercaptoacetyltriglycine Diuretic Scans: Development and Validation of a Predictive Model

Cited by 2 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. An integrative latent class model of heterogeneous data modalities for diagnosing kidney obstruction;Biostatistics;2023-07-26

2. Multicentre evaluation of two multiplex PCR platforms for the rapid microbiological investigation of nosocomial pneumonia in UK ICUs: the INHALE WP1 study;Thorax;2022-01-13

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