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.
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