{
  "abstract": "Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain",
  "authors": [
    {
      "affiliations": [
        "Department of Epidemiology, Gillings School of Public Health, UNC Chapel Hill, North Carolina, USA",
        "The BMJ, UK"
      ],
      "name": "Timothy Feeney"
    },
    {
      "affiliations": [
        "Department of Epidemiology, Gillings School of Public Health, UNC Chapel Hill, North Carolina, USA"
      ],
      "name": "Paul N Zivich"
    }
  ],
  "title": "Causal inference is hard, and advanced statistical analysis is not enough",
  "uid": "3906e754-6c8e-5ab3-8ac8-160087c814cf"
}