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mada (version 0.5.11)

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

0.5.11

License

GPL-2

Maintainer

Philipp Doebler

Last Published

July 15th, 2022

Functions in mada (0.5.11)

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

Meta-Analyisis of univariate measures of diagnostic accuracy

Methods for the class predv_r.

Plot the Moses-Shapiro-Littenberg SROC curve

Estimation of Distributions of Predictive Values Based on Prevalence Ranges and Pooled Sensitivities and Specificities

Estimation of Distributions of Predictive Values Based on Prevalence Probability Distributions and Pooled Sensitivities and Specificities

Methods for phm objects.

Sensitivity, Specificity and False Positive Rate

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

Methods for the class madauni.

Methods for reitsma objects.

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

Methods for the class predv_d.

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

Plot the Ruecker-Schumacher (2010) SROC curve

Forest plot for univariate measures

Confidence Regions on ROC space

Cochran's Q statistic

Diagnostic accuracy data

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

Area under the curve (AUC)

Meta-Analysis of diagnostic accuracy studies mada

Descriptive statistics for meta-analysis of diagnostic accuracy