The cost-effectiveness of reclassification sampling for prevalence estimation.

ABSTRACT:

Background

Typically, a two-phase (double) sampling strategy is employed when classifications are subject to error and there is a gold standard (perfect) classifier available. Two-phase sampling involves classifying the entire sample with an imperfect classifier, and a subset of the sample with the gold-standard.

Methodology/principal findings

In this paper we consider an alternative strategy termed reclassification sampling, which involves classifying individuals using the imperfect classifier more than one time. Estimates of sensitivity, specificity and prevalence are provided for reclassification sampling, when either one or two binary classifications of each individual using the imperfect classifier are available. Robustness of estimates and design decisions to model ass

SUBMITTER: Bekmetjev A 

PROVIDER: S-EPMC3278465 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature