CIfinder: Estimate the Confidence Intervals for Predictive Values

Computes confidence intervals for the positive predictive value (PPV) and negative predictive value (NPV) based on varied scenarios. In prospective studies where the proportion of diseased subjects is an unbiased estimate of the disease prevalence, this package provides several methods for calculating the confidence intervals for PPV and NPV including Clopper-Pearson, Wald, Wilson, Agresti-Coull, and Beta. In situations where the proportion of diseased subjects does not correspond to the disease prevalence (e.g. case-control studies), this package provides two types of solutions: 1) three methods for estimating confidence intervals for PPV and NPV via ratio of two binomial proportions including Gart & Nam (1988), Walter (1975), and MOVER-J (Laud, 2017); 2) three direct methods that compute the confidence intervals including Pepe (2003), Zhou (2007), and Delta. See the Details and References sections in the corresponding functions.

Version: 1.0.1
Depends: R (≥ 3.6.0)
Imports: ratesci, stats, Rdpack, kableExtra
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-08-16
Author: Dadong Zhang, Jingye Wang, Johan Surtihadi
Maintainer: Dadong Zhang <dzhang4 at illumina.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: CIfinder results

Documentation:

Reference manual: CIfinder.pdf
Vignettes: Eestimating confidence interval for predictive values

Downloads:

Package source: CIfinder_1.0.1.tar.gz
Windows binaries: r-devel: CIfinder_1.0.1.zip, r-release: CIfinder_1.0.1.zip, r-oldrel: CIfinder_1.0.1.zip
macOS binaries: r-release (arm64): CIfinder_1.0.1.tgz, r-oldrel (arm64): CIfinder_1.0.1.tgz, r-release (x86_64): CIfinder_1.0.1.tgz, r-oldrel (x86_64): CIfinder_1.0.1.tgz
Old sources: CIfinder archive

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