Evaluation of diagnostic tests without gold standards
- 1 August 1998
- journal article
- review article
- Published by SAGE Publications in Statistical Methods in Medical Research
- Vol. 7 (4), 354-370
- https://doi.org/10.1177/096228029800700404
Abstract
This paper reviews statistical methods developed to estimate the sensitivity and specificity of screening or diagnostic tests when the fallible tests are not evaluated against a gold standard. It gives a brief summary of the earlier historical developments and focuses on the more recent methods. It covers Bayesian approaches and longitudinal studies with repeated testing. In particular, it reviews the procedures that do not require the assumption of independence between tests conditional on the true disease status.Keywords
This publication has 44 references indexed in Scilit:
- Correcting for verification bias in studies of a diagnostic test's accuracyStatistical Methods in Medical Research, 1998
- Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDSJournal of the American Statistical Association, 1995
- Evaluating a new test using a reference test with estimated sensitivity and specificityCommunications in Statistics - Theory and Methods, 1991
- Evaluating Diagnostic Tests with Imperfect StandardsAmerican Journal of Clinical Pathology, 1990
- Estimation of test error rates, disease prevalence and relative risk from misclassified data: a reviewJournal of Clinical Epidemiology, 1988
- Evaluating Diagnostic TestsPublished by JSTOR ,1981
- Methodology for the assessment of new dichotomous diagnostic testsJournal of Chronic Diseases, 1981
- Maximum Likelihood Estimation of Observer Error-Rates Using the EM AlgorithmJournal of the Royal Statistical Society Series C: Applied Statistics, 1979
- COMPARISON OF A SCREENING TEST AND A REFERENCE TEST IN EPIDEMIOLOGIC STUDIESAmerican Journal of Epidemiology, 1966
- Evaluation of a Class of Diagnostic TestsBiometrics, 1951