Skip Navigation

This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (51)
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Johnson, W. O.
Right arrow Articles by Pearson, L. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Johnson, W. O.
Right arrow Articles by Pearson, L. M.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology Vol. 153, No. 9 : 921-924
Copyright © 2001 by The Johns Hopkins University School of Hygiene and Public Health


ORIGINAL CONTRIBUTIONS

Screening without a "Gold Standard": The Hui-Walter Paradigm Revisited

Wesley O. Johnson1, Joseph L. Gastwirth2 and Larry M. Pearson3

1 Department of Statistics, University of California, Davis, CA.
2 Department of Statistics, George Washington University, Washington, DC.
3 Department of Mathematics and Statistics, Minnesota State University, Mankato, MN.

Correspondence to Dr. Wesley O. Johnson, Division of Statistics and Graduate Group in Epidemiology, University of California, One Shields Avenue, Davis, CA 95616-8705 (e-mail: wojohnson{at}ucdavis.edu).

The authors consider screening populations with two screening tests but where a definitive "gold standard" is not readily available. They discuss a recent article in which a Bayesian approach to this problem is developed based on data that are sampled from a single population. It was subsequently pointed out that such inferences will not necessarily be accurate in the sense that standard errors for parameters may not decrease as n increases. This problem will generally occur when the data are insufficient to estimate all of the parameters as is the case when screening a single population with two tests. If both tests are applied to units sampled from two populations, however, this particular difficulty disappears. In this article the authors further examine this issue and develop an approach based on sampling two populations that yields increasingly accurate inferences as the sample size increases.

Bayesian approach; diagnostic test; Gibbs sampler; likelihood; prevalence; sensitivity and specificity


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
jvdiHome page
F. Elvinger, B. L. Akey, D. A. Senne, F. W. Pierson, B. A. Porter-Spalding, E. Spackman, and D. L. Suarez
Characteristics of diagnostic tests used in the 2002 low-pathogenicity avian influenza H7N2 outbreak in Virginia
J Vet Diagn Invest, July 1, 2007; 19(4): 341 - 348.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
K. H. Zou, A. J. O'Malley, and L. Mauri
Receiver-Operating Characteristic Analysis for Evaluating Diagnostic Tests and Predictive Models
Circulation, February 6, 2007; 115(5): 654 - 657.
[Full Text] [PDF]


Home page
BiostatisticsHome page
S. Chen, P. Watson, and G. Parmigiani
Accuracy of MSI testing in predicting germline mutations of MSH2 and MLH1: a case study in Bayesian meta-analysis of diagnostic tests without a gold standard
Biostat., July 1, 2005; 6(3): 450 - 464.
[Abstract] [Full Text] [PDF]



Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.