[
  {
    "local_id": "C1",
    "type": "resource",
    "core": true,
    "statement": "Conditional on the frozen public trial tables, registry extraction and exploratory estimators, adding COVID-OUT's reported day-28 hospitalization/death endpoint yields 7,714 analysis records and pooled risk ratio 1.107 (95% modified Hartung-Knapp interval 0.577 to 2.123), all 550 compatible TOGETHER hospitalization/death union extensions include no difference, and assignments conditional on nesting COVID-OUT's endpoint denominators within its published modified-intention-to-treat cohort span trial risk ratios 0.083 to 7.766, establishing neither benefit nor equivalence.",
    "evidence": [
      {
        "result": "R1.primary.n",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.primary.events_t",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.primary.events_c",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.primary.rr",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.primary.lower",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.primary.upper",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.primary.fixed_lower",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.primary.fixed_upper",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.trials.covidout.n_t",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.trials.covidout.n_c",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.trials.covidout.events_t",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.trials.covidout.events_c",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.together.scenarios",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.together.pooled_n",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.together.intervals_including_null",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.together.pooled_rr_min",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.together.pooled_rr_max",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.together.lower_envelope",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.together.upper_envelope",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.covidout_denominator.denominator_gap_total",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.covidout_denominator.scenarios",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.covidout_denominator.rr_min",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.covidout_denominator.rr_max",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R1.covidout_denominator.first_treatment_events_reversing_direction",
        "produced_by": "code/analyze.py",
        "tolerance": 1e-06
      },
      {
        "result": "R2.decimal_primary_and_leave_one_out_match",
        "produced_by": "code/check_independently.py"
      },
      {
        "result": "R2.decimal_union_scenarios_match",
        "produced_by": "code/check_independently.py"
      },
      {
        "result": "R2.rational_denominator_scenarios_match",
        "produced_by": "code/check_independently.py"
      },
      {
        "result": "R2.registry_extraction_matches",
        "produced_by": "code/check_independently.py"
      },
      {
        "result": "R2.reciprocal_symmetry_passed",
        "produced_by": "code/check_independently.py"
      }
    ],
    "depends_on": [],
    "confidence": 0.97,
    "falsified_if": "The specified source extraction or its endpoint mapping is incorrect, a rerun changes declared results beyond tolerance, or an independently recomputed allowed union interval excludes one. Conditional denominator bounds are invalid if their explicitly stated nesting assumption does not hold; they are not claims about observed missing outcomes."
  }
]