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license: MIT
title: 'rocvb: ROC-Based Inference for Diagnostic Accuracy Under Verification Bias'
version: 0.1.0
doi: 10.32614/CRAN.package.rocvb
abstract: Provides point estimates and confidence intervals for receiver operating
  characteristic (ROC)–based diagnostic accuracy metrics for tests and biomarkers
  subject to verification bias. Supported metrics include the Area Under the ROC Curve
  (AUC), the Youden index, and the sensitivity at a user‑specified specificity level
  for two‑class continuous tests under missing‑at‑random (MAR) disease verification.
  Point estimation follows Alonzo and Pepe (2005) <https://doi.org/10.1111/j.1467-9876.2005.00477.x>.
  Multiple types of confidence intervals are implemented and compared, including bootstrap‑based,
  Method of Variance Estimates Recovery (MOVER)–based, and empirical likelihood (EL)–based
  intervals; see Wang et al. (2025) <https://doi.org/10.1177/09622802251322989> and
  <https://github.com/swang1021/rocvb>.
authors:
- family-names: Wang
  given-names: Shirui
  email: wangshirui1021@gmail.com
repository: https://swang1021.r-universe.dev
repository-code: https://github.com/swang1021/rocvb
commit: 2e396780fd2223b443ecd23cba837bada09a6428
url: https://github.com/swang1021/rocvb
date-released: '2026-05-01'
contact:
- family-names: Wang
  given-names: Shirui
  email: wangshirui1021@gmail.com