[
  {
    "title": "mlumr: Multilevel Unanchored Meta-Regression for Indirect Treatment Comparisons",
    "author": [
      {
        "given": "Ahmad",
        "family": "Sofi-Mahmudi",
        "role": {},
        "email": {},
        "comment": "0000-0001-6829-0823"
      },
      {
        "given": "Conor",
        "family": "Chandler",
        "role": {},
        "email": {},
        "comment": "0000-0002-1365-9002"
      }
    ],
    "year": "2026",
    "note": "R package version 0.1.0. An adaptation of the ML-NMR methodology to the unanchored case; built on conventions established by the 'multinma' package (Phillippo et al., GPL-3).",
    "url": "https://github.com/choxos/mlumr"
  },
  {
    "title": "multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data",
    "author": [
      {
        "given": "David M.",
        "family": "Phillippo",
        "role": {},
        "email": {},
        "comment": "0000-0003-2672-7841"
      }
    ],
    "year": "2020",
    "note": "R package, GPL-3. The ML-NMR reference implementation that mlumr adapts to the unanchored case.",
    "url": "https://dmphillippo.github.io/multinma/",
    "doi": "10.5281/zenodo.3904454"
  },
  {
    "title": "Anchors Away: Navigating Unanchored Indirect Comparisons With Multilevel Unanchored Meta-Regression (ML-UMR)",
    "author": [
      {
        "given": "Conor",
        "family": "Chandler",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Jack",
        "family": "Ishak",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "journal": "Value in Health",
    "year": "2025",
    "volume": "28",
    "pages": "S498",
    "note": "ISPOR Europe 2025 poster, MSR28",
    "url": "https://www.valueinhealthjournal.com/article/S1098-3015(25)05944-3/abstract"
  },
  {
    "title": "Surviving Unanchored Indirect Comparisons: An Extension of Multilevel Unanchored Meta-Regression (ML-UMR) for Survival Analyses",
    "author": [
      {
        "given": "Conor",
        "family": "Chandler",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Jack",
        "family": "Ishak",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "journal": "Value in Health",
    "year": "2026",
    "volume": "29",
    "number": "S6",
    "note": "ISPOR 2026 poster, MSR131",
    "url": "https://www.ispor.org/heor-resources/presentations-database/presentation-cti/ispor-2026/poster-session-3-3/surviving-unanchored-indirect-comparisons-an-extension-of-multilevel-unanchored-meta-regression-ml-umr-for-survival-analyses"
  },
  {
    "title": "Multilevel Network Meta-Regression for population-adjusted treatment comparisons",
    "author": [
      {
        "given": "David M.",
        "family": "Phillippo",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Sofia",
        "family": "Dias",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "A. E.",
        "family": "Ades",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Mark",
        "family": "Belger",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Alan",
        "family": "Brnabic",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Alexander",
        "family": "Schacht",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Daniel",
        "family": "Saure",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Zbigniew",
        "family": "Kadziola",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Nicky J.",
        "family": "Welton",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "journal": "Journal of the Royal Statistical Society: Series A",
    "year": "2020",
    "volume": "183",
    "number": "3",
    "pages": "1189--1210",
    "doi": "10.1111/rssa.12579"
  }
]