[
  {
    "title": "CORAtool: Combinational Regularity Analysis",
    "author": [
      {
        "given": "Young",
        "family": "Chan",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "year": "2026",
    "note": "R package version 0.1.2",
    "url": "https://github.com/youngchanresearcher/CORAtool"
  },
  {
    "title": "Combinational Regularity Analysis (CORA) - a new method for uncovering complex causation in medical and health research",
    "author": [
      {
        "given": "Alrik",
        "family": "Thiem",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Lusine",
        "family": "Mkrtchyan",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Zuzana",
        "family": "Sebechlebská",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "journal": "BMC Medical Research Methodology",
    "year": "2022",
    "volume": "22",
    "number": "1",
    "pages": "333",
    "doi": "10.1186/s12874-022-01800-9"
  },
  {
    "title": "CORA and LOGIGRAM: A duo of Python packages for Combinational Regularity Analysis (CORA)",
    "author": [
      {
        "given": "Zuzana",
        "family": "Sebechlebská",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Lusine",
        "family": "Mkrtchyan",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Alrik",
        "family": "Thiem",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "journal": "Journal of Open Source Software",
    "year": "2023",
    "volume": "8",
    "number": "85",
    "pages": "5019",
    "doi": "10.21105/joss.05019"
  }
]