MAICtools: 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) <doi:10.2165/11538370-000000000-00000> and Signorovitch et al. (2012) <doi:10.1016/j.jval.2012.05.004>.

Getting started

Package details

AuthorXiao Qi [aut, cre]
MaintainerXiao Qi <qixiao2024@outlook.com>
LicenseMIT + file LICENSE
Version0.1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MAICtools")

Try the MAICtools package in your browser

Any scripts or data that you put into this service are public.

MAICtools documentation built on April 4, 2025, 12:17 a.m.