Learn R Programming

HSROC (version 2.1.9)

Meta-Analysis of Diagnostic Test Accuracy when Reference Test is Imperfect

Description

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.

Copy Link

Version

Install

install.packages('HSROC')

Monthly Downloads

50

Version

2.1.9

License

GPL-2

Maintainer

Ian Schiller

Last Published

September 19th, 2019

Functions in HSROC (2.1.9)

simdata

Simulate a dataset based on a HSROC model
In.house

IN-HOUSE NUCLEIC ACID AMPLIFICATION TESTS (INH) FOR TB PLEURITIS
beta.parameter

A function that returns the shape parameters of the beta distribution
HSROC

A function for joint meta-analysis of sensitivity and specificity of a diagnostic test.
MRI

MAGNETIC RESONANCE IMAGING TEST (MRI) for evaluation of lymph node metastasis in women with invasive cervical cancer
HSROCSummary

Summary statistics for HSROC models.