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PVBcorrect  

Partial Verification Bias Correction for Diagnostic Accuracy
View on CRAN: Click here


Download and install PVBcorrect package within the R console
Install from CRAN:
install.packages("PVBcorrect")

Install from Github:
library("remotes")
install_github("cran/PVBcorrect")

Install by package version:
library("remotes")
install_version("PVBcorrect", "0.3.1")



Attach the package and use:
library("PVBcorrect")
Maintained by
Wan Nor Arifin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-08
Latest Update: 2025-10-08
Description:
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>.
How to cite:
Wan Nor Arifin (2025). PVBcorrect: Partial Verification Bias Correction for Diagnostic Accuracy. R package version 0.3.1, https://cran.r-project.org/web/packages/PVBcorrect. Accessed 20 Oct. 2026.
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