Ranking using Probabilistic Models and Treatment Choice Criteria


[Up] [Top]

Documentation for package ‘mtrank’ version 0.2-0

Help Pages

mtrank-package mtrank: Brief overview
antidepressants Network meta-analysis for major depressive disorder
diabetes Network meta-analysis studying the incidence of diabetes
fitted.mtrank Calculate pairwise fitted probabilities for 'mtrank' object.
forest.mtrank Forest plot of ability estimates produced with 'mtrank'
forest.tcc Forest plot showing the treatment preference format of the NMA estimates according to treatment choice criterion.
linegraph Line graph showing the results of 'mtrank' across different smallest worthwhile difference (SWD) values
mtrank Estimate the treatment hierarchy in network meta-analysis using a probabilistic ranking model
pp2long Auxiliary function to transform data from paired-preference to long-arm format
print.fitted.mtrank Calculate pairwise fitted probabilities for 'mtrank' object.
print.mtrank Estimate the treatment hierarchy in network meta-analysis using a probabilistic ranking model
print.tcc Apply a treatment-choice criterion (TCC) to get treatment preferences based on network meta-analysis estimates.
tcc Apply a treatment-choice criterion (TCC) to get treatment preferences based on network meta-analysis estimates.