Performing Matched-Adjusted Indirect Comparisons (MAIC)

A generalised workflow for Matching-Adjusted Indirect Comparison (MAIC) analysis, which supports both anchored and non-anchored MAIC methods. In MAIC, unbiased trial outcome comparison is achieved by weighting the subject-level outcomes of the intervention trial so that the weighted aggregate measures of prognostic or effect-modifying variables match those of the comparator trial. Measurements supported include time-to-event (e.g., overall survival) and binary (e.g., objective tumor response). The method is described in Signorovitch et al. (2010) and Signorovitch et al. (2012) .


Reference manual

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install.packages("MAICtools")

0.1.1 by Xiao Qi, 2 years ago


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


Authors: Xiao Qi [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports assertthat, boot, broom, data.table, dplyr, ggplot2, graphics, grDevices, grid, magrittr, purrr, rlang, stats, stringr, survival, survminer, tibble, tidyr, tidyselect, VIM

Suggests haven, testthat, tidyverse


See at CRAN