Latent Model for Correlated Binary Data with Diagnostic Error
Article first published online: 25 MAY 2004
Volume 55, Issue 4, pages 1232–1235, December 1999
How to Cite
Shih, J. H. and Albert, P. S. (1999), Latent Model for Correlated Binary Data with Diagnostic Error. Biometrics, 55: 1232–1235. doi: 10.1111/j.0006-341X.1999.01232.x
- Issue published online: 25 MAY 2004
- Article first published online: 25 MAY 2004
- Received January 1998. Revised January 1999. Accepted May 1999.
- Diagnostic error;
- Latent model;
- Random effects
Summary. We propose a methodology for modeling correlated binary data measured with diagnostic error. A shared random effect is used to induce correlations in repeated true latent binary outcomes and in observed responses and to link the probability of a true positive outcome with the probability of having a diagnosis error. We evaluate the performance of our proposed approach through simulations and compare it with an ad hoc approach. The methodology is illustrated with data from a study that assessed the probability of corneal arcus n patients with familial hypercholesterolemia.