HSROC: Joint meta-analysis of diagnostic test sensitivity and specificity with or without a gold standard reference test

This package implements a model for joint meta-analysis of sensitivity and specificity of the diagnostic test under evaluation, while taking into account the possibly imperfect sensitivity and specificity of the reference test. This hierarchical model accounts for both within and between study variability. Estimation is carried out using a Bayesian approach, implemented via a Gibbs sampler. The model can be applied in situations where more than one reference test is used in the selected studies.

Version: 2.1.7
Depends: R (≥ 3.0.1), lattice, coda, MASS, MCMCpack
Published: 2013-08-22
Author: Ian Schiller and Nandini Dendukuri
Maintainer: Ian Schiller <ian.schiller at clinepi.mcgill.ca>
License: GPL-2
URL: http://www.nandinidendukuri.com/
NeedsCompilation: yes
Citation: HSROC citation info
Materials: NEWS
In views: MetaAnalysis
CRAN checks: HSROC results


Reference manual: HSROC.pdf
Vignettes: User manual
Package source: HSROC_2.1.7.tar.gz
Windows binaries: r-devel: HSROC_2.1.7.zip, r-release: HSROC_2.1.7.zip, r-oldrel: HSROC_2.1.7.zip
OS X Snow Leopard binaries: r-release: HSROC_2.1.7.tgz, r-oldrel: HSROC_2.1.7.tgz
OS X Mavericks binaries: r-release: HSROC_2.1.7.tgz
Old sources: HSROC archive