Meta-Analysis of Diagnostic Accuracy

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Documentation for package ‘mada’ version 0.5.12

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

mada-package	Meta-Analysis of diagnostic accuracy studies mada
anova.reitsma	Methods for 'reitsma' objects.
AUC	Area under the curve (AUC)
auc	Area under the curve (AUC)
AUC.default	Area under the curve (AUC)
AUC.phm	Area under the curve (AUC)
AUC.reitsma	Area under the curve (AUC)
AuditC	Diagnostic accuracy data
CIrho	Confidence intervals for Spearman's rho.
cochran.Q	Cochran's Q statistic
crosshair	Crosshair plot
crosshair.default	Crosshair plot
crosshair.reitsma	Methods for 'reitsma' objects.
Dementia	Diagnostic accuracy data
forest	Forest plot for univariate measures
forest.madad	Forest plot for univariate measures
forest.madauni	Forest plot for univariate measures
forestmada	Forest plot for univariate measures
fpr	Sensitivity, Specificity and False Positive Rate
IAQ	Diagnostic accuracy data
mada	Meta-Analysis of diagnostic accuracy studies mada
mada-data	Diagnostic accuracy data
madad	Descriptive statistics for meta-analysis of diagnostic accuracy
madad-class	Descriptive statistics for meta-analysis of diagnostic accuracy
madauni	Meta-Analyisis of univariate measures of diagnostic accuracy
madauni-class	Methods for the class 'madauni'.
mcsroc	Methods for 'reitsma' objects.
mcsroc.reitsma	Methods for 'reitsma' objects.
mslSROC	Plot the Moses-Shapiro-Littenberg SROC curve
phm	Diagnostic Meta-Analysis with the proportional hazards model approach of Holling et.al (2012)
phm-class	Methods for 'phm' objects.
phm.default	Diagnostic Meta-Analysis with the proportional hazards model approach of Holling et.al (2012)
plot.phm	Methods for 'phm' objects.
plot.reitsma	Methods for 'reitsma' objects.
predv_d	Estimation of Distributions of Predictive Values Based on Prevalence Probability Distributions and Pooled Sensitivities and Specificities
predv_d-class	Methods for the class 'predv_d'.
predv_r	Estimation of Distributions of Predictive Values Based on Prevalence Ranges and Pooled Sensitivities and Specificities
predv_r-class	Methods for the class 'predv_r'.
print.anova.reitsma	Methods for 'reitsma' objects.
print.madad	Descriptive statistics for meta-analysis of diagnostic accuracy
print.madauni	Methods for the class 'madauni'.
print.phm	Methods for 'phm' objects.
print.predv_d	Methods for the class 'predv_d'.
print.predv_r	Methods for the class 'predv_r'.
print.reitsma	Methods for 'reitsma' objects.
print.summary.madauni	Methods for the class 'madauni'.
print.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
reitsma	Fit the bivariate model of Reitsma et al. (2005) and extensions.
reitsma-class	Methods for 'reitsma' objects.
reitsma.default	Fit the bivariate model of Reitsma et al. (2005) and extensions.
ROCellipse	Confidence Regions on ROC space
ROCellipse.default	Confidence Regions on ROC space
ROCellipse.reitsma	Methods for 'reitsma' objects.
rsSROC	Plot the Ruecker-Schumacher (2010) SROC curve
SAQ	Diagnostic accuracy data
sens	Sensitivity, Specificity and False Positive Rate
skin_tests	Diagnostic accuracy data
smoking	Diagnostic accuracy data
spec	Sensitivity, Specificity and False Positive Rate
sroc	Methods for 'reitsma' objects.
sroc.phm	Methods for 'phm' objects.
sroc.reitsma	Methods for 'reitsma' objects.
summary.madauni	Methods for the class 'madauni'.
summary.madauni-class	Methods for the class 'madauni'.
summary.phm	Methods for 'phm' objects.
summary.predv_d	Methods for the class 'predv_d'.
summary.predv_d-class	Methods for the class 'predv_d'.
summary.predv_r	Methods for the class 'predv_r'.
summary.predv_r-class	Methods for the class 'predv_r'.
summary.reitsma	Methods for 'reitsma' objects.
summary.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
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
SummaryPts.default	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
SummaryPts.reitsma	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
talpha	The t_alpha transformation as a link function for binary GLMs.
vcov.madauni	Methods for the class 'madauni'.