Detecting Outliers in Network Meta-Analysis

A set of functions providing several outlier (i.e., studies with extreme findings) and influential detection measures and methodologies in network meta-analysis : - simple outlier and influential detection measures - outlier and influential detection measures by considering study deletion (shift the mean) - plots for outlier and influential detection measures - Q-Q plot for network meta-analysis - Forward Search algorithm in network meta-analysis. - forward plots to monitor statistics in each step of the forward search algorithm - forward plots for summary estimates and their confidence intervals in each step of forward search algorithm.


Reference manual

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install.packages("NMAoutlier")

0.2.1 by Maria Petropoulou, a year ago


https://github.com/petropouloumaria/NMAoutlier


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


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


Documentation:   PDF Manual  


GPL (>= 2) license


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


See at CRAN