Using latent class models to characterize and assess relative error in discrete measurements.

Abstract

Whenever a definitive standard is not available to mark accuracy in a classification process, discrete measurement error can be discussed only in relative terms. If strong assumptions concerning the underlying discrete processes can be made, latent class models allow one to characterize patterns of agreement/disagreement among raters while simultaneously… (More)

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