The maicplus package provides tools to perform matching-adjusted indirect comparison (MAIC) analysis. MAIC is a method used to adjust for differences in baseline characteristics between treatment groups in indirect comparisons, typically where patient-level data are available for one treatment but only aggregate-level data are available for the comparator treatment.
Perform MAIC analysis for time-to-event endpoints (e.g. overall survival) or binary endpoints (e.g. objective tumor response).
Perform unanchored analysis when comparing single-arm trials or anchored analysis when there exists a common comparator between trials.
User-friendly functions to facilitate the analysis process.
Comprehensive documentation and examples to guide users through the analysis.
You can install the latest version of maicplus on CRAN with:
install.packages('maicplus')
or you can install the development version with:
# remotes::install_github("hta-pharma/maicplus")
install.packages("maicplus", repos = c('https://hta-pharma.r-universe.dev', 'https://cloud.r-project.org'))
To learn how to use the maicplus R package, refer to the
package website (hta-pharma.github.io/maicplus/).
Chen G, Seo M, Antoniou M, Belleli R, Kalyvas C, Gravestock I. SA83 {Maicplus}: An R Package to Support Analysis and Reporting of Matching Adjusted Indirect Treatment Comparisons (MAIC) for HTA Dossiers. Value in Health. 2023;26(12):S558. doi:10.1016/j.jval.2023.09.2992
Phillippo D, Ades T, Dias S, Palmer S, Abrams KR, Welton N. NICE DSU Technical Support Document 18: Methods for Population-Adjusted Indirect Comparisons in Submissions to NICE. Vol 18. NICE Decision Support Unit; 2016.