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.


News

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

** User-visible changes **

  • New function as.data.frame.diagmeta()

  • 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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install.packages("diagmeta")

0.4-0 by Guido Schwarzer, 7 months ago


https://github.com/guido-s/diagmeta


Browse source code at https://github.com/cran/diagmeta


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