Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests-Reference-Cited by-同舟云学术

Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests

Published:2001-03 Issue:1 Volume:57 Page:158-167
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Dendukuri Nandini¹,Joseph Lawrence¹

Affiliation:

1. Department of Epidemiology and Biostatistics, McGill University, 1020 Pine Avenue West, Montreal, Quebec H3A 1A2, Canada

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.0006-341X.2001.00158.x

Reference22 articles.

1. Using a combination of reference tests to assess the accuracy of a new diagnostic test

2. HOW INDEPENDENT ARE MULTIPLE ‘INDEPENDENT’ DIAGNOSTIC CLASSIFICATIONS?

3. Using Latent Class Models to Characterize and Assess Relative Error in Discrete Measurements

4. Bayes' theorem and conditional nonindependence of data in medical diagnosis

5. The Statistical Precision of Medical Screening Procedures: Application to Polygraph and AIDS Antibodies Test Data

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