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drMAIC  

Doubly Robust Matching-Adjusted Indirect Comparison for HTA
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("drMAIC", "0.1.0")



Attach the package and use:
library("drMAIC")
Maintained by
Anupama Singh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-29
Latest Update: 2026-03-29
Description:
Implements Doubly Robust Matching-Adjusted Indirect Comparison (DR-MAIC) for population-adjusted indirect treatment comparisons in health technology appraisal (HTA). The package provides: (1) standard MAIC via entropy balancing / exponential tilting; (2) augmented/doubly robust MAIC combining inverse probability weighting with outcome regression; (3) comprehensive covariate balance diagnostics including standardised mean differences, Love plots, and effective sample size; (4) sensitivity analyses including E-values, weight trimming, and variable exclusion analyses; (5) bootstrap confidence intervals; and (6) submission-ready outputs aligned with NICE Decision Support Unit Technical Support Document 18, Cochrane Handbook guidance on indirect comparisons, and ISPOR best practice guidelines. Supports binary (risk difference, risk ratio, odds ratio) and time-to-event (hazard ratio) outcomes.
How to cite:
Anupama Singh (2026). drMAIC: Doubly Robust Matching-Adjusted Indirect Comparison for HTA. R package version 0.1.0, https://cran.r-project.org/web/packages/drMAIC. Accessed 03 Oct. 2026.
Previous versions and publish date:
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Other packages that cited drMAIC R package
View drMAIC citation profile
Other R packages that drMAIC depends, imports, suggests or enhances
Complete documentation for drMAIC
Functions, R codes and Examples using the drMAIC R package
Full drMAIC package functions and examples
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