Estimation of sensitivity and specificity of multiple repeated binary tests without a gold standard.
A model for multiple diagnostic tests, applied repeatedly over time on each subject, is proposed; gold standard data are not required. The model is identifiable with as few as three tests, and correlation among tests at each time point in the diseased and nondiseased populations, as well as across time points, is explicitly included. An efficient Markov chain Monte Carlo scheme allows for straightforward posterior inference; sample R code is available in the Supporting Web Materials for this paper. The proposed model is broadly illustrated via simulations and an analysis of scaphoid fracture data from a prospective study. In addition, omnibus tests constructed from individual tests in parallel and serial are considered.
['Wang|Chunling|C|0000-0003-3968-0712', 'Hanson|Timothy E|TE|']
D003198:Computer Simulation D003955:Diagnostic Tests, Routine D050723:Fractures, Bone D006801:Humans D008390:Markov Chains D015233:Models, Statistical D009010:Monte Carlo Method D021361:Scaphoid Bone D012680:Sensitivity and Specificity
latent class analysis repeated binary outcomes test accuracy