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The latent class model for multiple binary screening tests

โœ Scribed by Tai-Shing Lau

Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
114 KB
Volume
16
Category
Article
ISSN
0277-6715

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โœฆ Synopsis

Given multiple binary tests, such as repeated application of a blind screening test to each individual in a sample, we attemt to estimate the prevalence, sensitivity and specificity of the test without knowing the true disease status of those tested (gold standard). This problem is equivalent to finding the mixing distribution of a mixture of binomial distributions. We suggest a new method to determine the number of latent classes. Our simulations show that the coverage probabilities of the bootstrap confidence intervals of our estimates are correct. Our methods are illustrated by examples from published medical research.

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โœ D.K. Morris; G.R. Wood; W.P. Baritompa; A.G. Keen ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 260 KB ๐Ÿ‘ 2 views

The behaviour of many biological systems can be attributed to that of a large number of units, with each unit swinging between two competing states. During the past few years efforts have been made (e.g., Chung and Kennedy, 1996) to describe such discrete systems using a multiple binary Markov chain