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mada (version 0.5.8)

Meta-Analysis of Diagnostic Accuracy

Description

Provides functions for diagnostic meta-analysis. Next to basic analysis and visualization the bivariate Model of Reitsma et al. (2005) that is equivalent to the HSROC of Rutter & Gatsonis (2001) can be fitted. A new approach based to diagnostic meta-analysis of Holling et al. (2012) is also available. Standard methods like summary, plot and so on are provided.

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Version

Install

install.packages('mada')

Monthly Downloads

721

Version

0.5.8

License

GPL-2

Maintainer

Philipp Doebler

Last Published

October 9th, 2017

Functions in mada (0.5.8)

mada-package

Meta-Analysis of diagnostic accuracy studies mada
madad

Descriptive statistics for meta-analysis of diagnostic accuracy
ROCellipse

Confidence Regions on ROC space
SummaryPts

Use the Zwindermann & Bossuyt (2008) MCMC procedure to generate summary points (positive and negative likelihood ratio, diagnostic odds ratio) for the Reitsma et al. (2005) bivariate model
cochran.Q

Cochran's Q statistic
crosshair

Crosshair plot
forest

Forest plot for univariate measures
mada-data

Diagnostic accuracy data
AUC

Area under the curve (AUC)
CIrho

Confidence intervals for Spearman's \(\rho\).
phm

Diagnostic Meta-Analysis with the proportional hazards model approach of Holling et.al (2012)
reitsma-class

Methods for reitsma objects.
sens

Sensitivity, Specificity and False Positive Rate
talpha

The \(t_\alpha\) transformation as a link function for binary GLMs.
mslSROC

Plot the Moses-Shapiro-Littenberg SROC curve
phm-class

Methods for phm objects.
reitsma

Fit the bivariate model of Reitsma et al. (2005) and extensions.
rsSROC

Plot the Ruecker-Schumacher (2010) SROC curve
madauni-class

Methods for the class madauni.
madauni

Meta-Analyisis of univariate measures of diagnostic accuracy