Description
Exact Matching and Matching-Adjusted Indirect Comparison (MAIC).
Description
The second version (0.2.0) contains implementation for exact matching which is an alternative to propensity score matching (see Glimm & Yau (2025)). 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 (2021) <doi:10.1002/pst.2210>.)
README.md
maicChecks: an R package
Details see
https://clyau.github.io/maicChecks/
Reference
- Glimm E and Yau L. (2025). "Exact matching as an alternative to propensity score matching." Statistics in Biopharmaceutical Research.
- 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.