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We examined concordance among these three sources, and used latent class analysis (LCA) to estimate sensitivity and specificity of each measure.
This is based on a simple nomogram for sample size for estimating sensitivity and specificity of medical tests [29].
The study aim is to estimate sensitivity and specificity of anal cytology for histologic HSIL in analyses adjusted for the imperfect biopsy reference standard.
In prior studies with the rhesus model, this assay had an estimated sensitivity and specificity against endoscopy or breath test of 96% and 88% respectively [26].
We have used a network approach to infer transitive relations for positive gene-interactions to estimate sensitivity and, more tentatively, specificity of our approach.
Therefore, when lacking available genotyping data to estimate sensitivity and specificity, Mendelian inconsistencies derived from available pedigree structures can assist in gauging overall levels of genotype error and could aid in the optimization of genotype calling algorithms.
The development of a latent class model by Hui and Walter [16] to estimate sensitivity and specificity avoids the need for a "gold standard" which is rarely, if ever, genuinely perfect [17].
When estimating sensitivity and specificity it is appropriate to present an interval estimate [ 13, 14].
The ROC analysis for the FMIA showed estimated sensitivity and specificity of 98.2 and 99.2 %, respectively.
For example, Nazareth [ 8] estimated sensitivity and PPV of schizophrenia and psychosis diagnoses.
Simulation studies showed that the intent-to-diagnose approach under-estimate sensitivity and specificity.
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