maic-methodology - MAIC Methodology Guidance
Methodological guidance for conducting rigorous Matching-Adjusted Indirect Comparisons
Tags
Updated: 2026-05-11Capabilities
Typical Inputs
Typical Outputs
What this skill does
- select covariates
- interpret weights
- check ESS
- decide anchored approach
- review MAIC code
- estimate weights
- run anchored MAIC
- run unanchored MAIC
- check covariate balance
Inputs
- IPD data
- AgD targets
- covariate names
- pseudo IPD
- treatment labels
Outputs
- treatment effect estimate
- weight summary
- covariate balance table
- confidence interval
- effective sample size
Requirements
- R environment
- maicplus package
- NICE DSU TSD 18