Meta-Analysis of Diagnostic Accuracy Studies with Several Cutpoints

Provides methods by Steinhauser et al. (2016) for meta-analysis of diagnostic accuracy studies with several cutpoints.


*** diagmeta, version 0.3-0, 2018-mm-dd ***

** User-visible changes **

  • New function

  • plot.diagmeta(): new plot type to show sensitivity and specificity curves

  • New arguments 'sens' and 'spec' in diagstats()

  • print.summary.diagmeta():

    • print confidence interval for optimal cutoff (for normal distribution)

** Bug fixes **

  • plot.diagmeta():
    • correct ROC curves for datasets with decreasing cutoff values for individual studies (points (0, 0) and (1, 1) were connected with the wrong values on the ROC curve)

** Internal changes **

  • diagmeta():
    • calculate and return lower and upper confidence limit for optimal cutoff (for normal distribution)

*** diagmeta, version 0.2-0, 2018-03-23 ***

** First version released on CRAN **

Reference manual

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0.4-0 by Guido Schwarzer, 7 months ago

Browse source code at

Authors: Gerta Rücker [aut] , Susanne Steinhauser [aut] , Srinath Kolampally [aut] , Guido Schwarzer [aut, cre]

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL (>= 2) license

Imports lme4, grDevices

Depends on meta

See at CRAN