Detecting Outliers in Network Meta-Analysis

A set of functions providing the forward search algorithm for detecting outlying studies (i.e., studies with extreme findings) in network meta-analysis: - provides the length of the initial subset for forward search algorithm; - iterations of forward search algorithm; - basic set of studies in each step of forward search algorithm; - summary estimates and their confidence intervals in each step of forward search algorithm; - outlying case diagnostics measures; - ranking measures; - heterogeneity and inconsistency measures; - forward plot for summary estimates and their confidence intervals; - forward plots for monitored measures: outlying case diagnostics measures, ranking measures, heterogeneity, and inconsistency measures.


Reference manual

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0.1.13 by Maria Petropoulou, 15 days ago

Browse source code at

Authors: Maria Petropoulou [aut, cre] , Guido Schwarzer [aut] , Agapios Panos [aut] , Dimitris Mavridis [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports netmeta, stats, parallel, MASS, reshape2, ggplot2, gridExtra

See at CRAN