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CompareTests
View on CRAN: Click
here
Download and install CompareTests package within the R console
Install from CRAN:
install.packages("CompareTests")
Install from Github:
library("remotes")
install_github("cran/CompareTests")
Install by package version:
library("remotes")
install_version("CompareTests", "1.2")
Attach the package and use:
library("CompareTests")
Maintained by
Hormuzd Katki
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-29
Latest Update: 2017-02-06
Description:
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. Verification Bias is this situation when the specimens for doing the second (sampled) test is not under investigator control. 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 also predictive values) and agreement statistics (percent agreement, percent agreement by category, Kappa (unweighted), Kappa (quadratic weighted) and symmetry tests (reduces to McNemar's test for binary tests)). See: Katki HA, Li Y, Edelstein DW, Castle PE. Estimating the agreement and diagnostic accuracy of two diagnostic tests when one test is conducted on only a subsample of specimens. Stat Med. 2012 Feb 28; 31(5) .
How to cite:
Hormuzd Katki (2012). CompareTests: Correct for Verification Bias in Diagnostic Accuracy & Agreement. R package version 1.2, https://cran.r-project.org/web/packages/CompareTests
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Functions, R codes and Examples using
the CompareTests R package
Some associated functions: CompareTests-package . CompareTests . fulltable . specimens .
Some associated R codes: CompareTests.R . fulltable.R . Full CompareTests package functions and examples
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