Partial Verification Bias Correction for Diagnostic Accuracy
PVB correction by Begg and Greenes' method with asymptotic normal CI
Complete Case Analysis, CCA
PVB correction by Begg and Greenes' method 1 (deGroot et al, no covari...
PVB correction by Begg and Greenes' method 2 (deGroot et al, one covar...
PVB correction by extended Begg and Greenes' method
PVB correction by EM-based logistic regression method
PVB correction by inverse probability bootstrap sampling (IPB)
PVB correction by Inverse Probability Weighting Estimator method
PVB correction by multiple imputation
PVB correction by scaled inverse probability weighted resampling (SIPW...
PVB correction by scaled inverse probability weighted balanced resampl...
PVBcorrect: A package to perform partial verification bias correction ...
Test vs Disease/Gold Standard cross-classification table
Performs partial verification bias (PVB) correction for binary diagnostic tests, where PVB arises from selective patient verification in diagnostic accuracy studies. Supports correction of important accuracy measures -- sensitivity, specificity, positive predictive values and negative predictive value -- under missing-at-random and missing-not-at-random missing data mechanisms. Available methods and references are "Begg and Greenes' methods" in Alonzo & Pepe (2005) <doi:10.1111/j.1467-9876.2005.00477.x> and deGroot et al. (2011) <doi:10.1016/j.annepidem.2010.10.004>; "Multiple imputation" in Harel & Zhou (2006) <doi:10.1002/sim.2494>, "EM-based logistic regression" in Kosinski & Barnhart (2003) <doi:10.1111/1541-0420.00019>; "Inverse probability weighting" in Alonzo & Pepe (2005) <doi:10.1111/j.1467-9876.2005.00477.x>; "Inverse probability bootstrap sampling" in Nahorniak et al. (2015) <doi:10.1371/journal.pone.0131765> and Arifin & Yusof (2022) <doi:10.3390/diagnostics12112839>; "Scaled inverse probability resampling methods" in Arifin & Yusof (2025) <doi:10.1371/journal.pone.0321440>.