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.
|Date of publication||2015-02-05 14:32:08|
|Maintainer||Philipp Doebler <firstname.lastname@example.org>|
AUC: Area under the curve (AUC)
CIrho: Confidence intervals for Spearman's rho.
cochran.Q: Cochran's Q statistic
crosshair: Crosshair plot
forest: Forest plot for univariate measures
madad: Descriptive statistics for meta-analysis of diagnostic...
mada-data: Diagnostic accuracy data
mada-package: Meta-Analysis of diagnostic accuracy studies mada
madauni: Meta-Analyisis of univariate measures of diagnostic accuracy
madauni-class: Methods for the class 'madauni'.
mslSROC: Plot the Moses-Shapiro-Littenberg SROC curve
phm: Diagnostic Meta-Analysis with the proportional hazards model...
phm-class: Methods for 'phm' objects.
reitsma: Fit the bivariate model of Reitsma et al. (2005) and...
reitsma-class: Methods for 'reitsma' objects.
ROCellipse: Confidence Regions on ROC space
rsSROC: Plot the Ruecker-Schumacher (2010) SROC curve
sens: Sensitivity, Specificity and False Positive Rate
SummaryPts: Use the Zwindermann & Bossuyt (2008) MCMC procedure to...
talpha: The t_alpha transformation as a link function for binary...