Description
Exact Matching and Matching-Adjusted Indirect Comparison (MAIC).
Description
The current version (0.3.0) streamlines the underlying code, adds a feasibility check to 'maicWt' and 'maxessWt', extends 'exmWt.2ipd' with options 'target.ipd' and 'method' for one-sided MAIC weighting between two IPDs, and adds 'wtTrtDiff' for the weighted treatment-effect difference with a Wald confidence interval based on Section 5 of Glimm & Yau (2026). The second version (0.2.0) contains implementation for exact matching which is an alternative to propensity score matching (see Glimm & Yau (2026) <doi:10.1080/19466315.2025.2507378>). The initial version (0.1.2) contains a collection of easy-to-implement tools for checking whether a MAIC can be conducted, as well as an alternative way of calculating weights (see Glimm & Yau (2022) <doi:10.1002/pst.2210>.)
README.md
maicChecks: an R package 
Details see
https://clyau.github.io/maicChecks/
Reference
- Glimm E and Yau L. (2026). "Exact matching as an alternative to propensity score matching." Statistics in Biopharmaceutical Research. 18(1):106-116.
- Glimm E and Yau L. (2022). "Geometric approaches to assessing the numerical feasibility for conducting matching-adjusted indirect comparisons." Pharmaceutical Statistics. 21(5):974-987.
Package authors
- Lillian Yau
- Ekkehard Glimm
- Xinlei Deng.