R: Meta-Analysis of Diagnostic Accuracy

# Meta-Analysis of Diagnostic Accuracy

## 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'.