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drMAIC: Doubly Robust Matching-Adjusted Indirect Comparison for HTA

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.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: stats, survival, boot, ggplot2
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-03-29
DOI: 10.32614/CRAN.package.drMAIC
Author: Anupama Singh [aut, cre]
Maintainer: Anupama Singh <anupama.singh at pharmacoevidence.com>
BugReports: https://github.com/Anupama-Singh01/drMAIC/issues
License: GPL (≥ 3)
URL: https://github.com/Anupama-Singh01/drMAIC
NeedsCompilation: no
Language: en-GB
Citation: drMAIC citation info
Materials: NEWS
CRAN checks: drMAIC results

Documentation:

Reference manual: drMAIC.html , drMAIC.pdf
Vignettes: Doubly Robust MAIC for HTA: A Complete Worked Example (source, R code)

Downloads:

Package source: drMAIC_0.1.0.tar.gz
Windows binaries: r-devel: drMAIC_0.1.0.zip, r-release: drMAIC_0.1.0.zip, r-oldrel: drMAIC_0.1.0.zip
macOS binaries: r-release (arm64): drMAIC_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): drMAIC_0.1.0.tgz, r-oldrel (x86_64): drMAIC_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=drMAIC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.