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MAICtools  

Performing Matched-Adjusted Indirect Comparisons (MAIC)
View on CRAN: Click here


Download and install MAICtools package within the R console
Install from CRAN:
install.packages("MAICtools")

Install from Github:
library("remotes")
install_github("cran/MAICtools")

Install by package version:
library("remotes")
install_version("MAICtools", "0.1.1")



Attach the package and use:
library("MAICtools")
Maintained by
Xiao Qi
[Scholar Profile | Author Map]
First Published: 2024-12-11
Latest Update: 2024-12-11
Description:
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>.
How to cite:
Xiao Qi (2024). MAICtools: Performing Matched-Adjusted Indirect Comparisons (MAIC). R package version 0.1.1, https://cran.r-project.org/web/packages/MAICtools. Accessed 03 Apr. 2025.
Previous versions and publish date:
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Complete documentation for MAICtools
Functions, R codes and Examples using the MAICtools R package
Full MAICtools package functions and examples
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