Journal article
Estimation of test error rates, disease prevalence and relative risk from misclassified data: a review
Abstract
We review methods for the analysis of categorical clinical and epidemiological data, in which the observations are subject to misclassification. Under certain conditions, it is possible to estimate error parameters such as sensitivity, specificity, relative risk, or predictive value, even though no definitive classification (gold standard) is available. The parameter estimates are obtained by modelling the data, using maximum likelihood, with …
Authors
Walter SD; Irwig LM
Journal
Journal of Clinical Epidemiology, Vol. 41, No. 9, pp. 923–937
Publisher
Elsevier
Publication Date
1988
DOI
10.1016/0895-4356(88)90110-2
ISSN
0895-4356