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)).

Version: 1.0
Published: 2012-10-29
Author: Hormuzd A. Katki and David W. Edelstein
Maintainer: Hormuzd Katki <katkih at mail.nih.gov>
License: GPL-3
URL: http://dceg.cancer.gov/about/staff-bios/katki-hormuzd
NeedsCompilation: no
CRAN checks: CompareTests results

Downloads:

Reference manual: CompareTests.pdf
Package source: CompareTests_1.0.tar.gz
Windows binaries: r-devel: CompareTests_1.0.zip, r-release: CompareTests_1.0.zip, r-oldrel: CompareTests_1.0.zip
OS X Snow Leopard binaries: r-release: CompareTests_1.0.tgz, r-oldrel: CompareTests_1.0.tgz
OS X Mavericks binaries: r-release: CompareTests_1.0.tgz