Exact Matching and Matching-Adjusted Indirect Comparison (MAIC)

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) ). 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) .)

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