# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "drMAIC" in publications use:' type: software license: GPL-3.0-or-later title: 'drMAIC: Doubly Robust Matching-Adjusted Indirect Comparison for HTA' version: 0.1.0 identifiers: - type: doi value: 10.32614/CRAN.package.drMAIC abstract: '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.' authors: - family-names: Singh given-names: Anupama email: anupama.singh@pharmacoevidence.com preferred-citation: type: manual title: 'drMAIC: Doubly Robust Matching-Adjusted Indirect Comparison for Health Technology Appraisal' authors: - name: Anupama Singh year: '2026' notes: R package version 0.1.0 url: https://github.com/Anupama-Singh01/drMAIC repository: https://heorlytics.r-universe.dev repository-code: https://github.com/Anupama-Singh01/drMAIC commit: f7e4debea1cdb57098c4afbb3fa77a718055848b url: https://github.com/Anupama-Singh01/drMAIC date-released: '2026-03-24' contact: - family-names: Singh given-names: Anupama email: anupama.singh@pharmacoevidence.com references: - type: article title: Parametric G-computation for compatible indirect treatment comparisons with limited individual patient data authors: - family-names: Remiro-Azócar given-names: Antonio - family-names: Heath given-names: Anna - family-names: Baio given-names: Gianluca journal: Research Synthesis Methods year: '2022' volume: '13' issue: '6' doi: 10.1002/jrsm.1565 start: '716' end: '744' - type: report title: Methods for population-adjusted indirect comparisons in submissions to NICE authors: - family-names: Phillippo given-names: David M. - family-names: Ades given-names: Anthony E. - family-names: Dias given-names: Sofia - family-names: Bujkiewicz given-names: Sylwia - family-names: Palmer given-names: Stephen - family-names: Abrams given-names: Keith R. - family-names: Welton given-names: Nicky J. institution: name: NICE Decision Support Unit year: '2016' notes: Technical Support Document 18 url: https://sheffield.ac.uk/nice-dsu