CompareTests: Estimate diagnostic accuracy (sensitivity, specificity, etc) and agreement statistics when one test is conducted on only a subsample of specimens

A standard test is observed on all specimens. We treat the second test (or sampled test) as being conducted on only a stratified sample of specimens. We treat the total sample as stratified two-phase sampling and use inverse probability weighting. We estimate diagnostic accuracy (category-specific classification probabilities; for binary tests reduces to specificity and sensitivity) and agreement statistics (percent agreement, percent agreement by category, Kappa (unweighted), and symmetry tests (reduces to McNemar's test for binary tests)).

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