petropouloumaria/NMAoutlier: 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.

Getting started

Package details

AuthorMaria Petropoulou [aut, cre] (<https://orcid.org/0000-0002-7147-3644>), Guido Schwarzer [aut] (<https://orcid.org/0000-0001-6214-9087>), Agapios Panos [aut], Dimitris Mavridis [aut] (<https://orcid.org/0000-0003-1041-4592>)
MaintainerMaria Petropoulou <maria.petropoulou@uniklinik-freiburg.de>
LicenseGPL (>= 2)
Version0.2.0
URL https://github.com/petropouloumaria/NMAoutlier
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("petropouloumaria/NMAoutlier")
petropouloumaria/NMAoutlier documentation built on Feb. 10, 2025, 12:45 p.m.