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RESULT: {
    result: <OVERALL_RESULT_DATA>,
    (dataRows: <ROW_RESULT_DATA>*|,
    subgroups: [{
        result: <SUBGROUP_RESULT_DATA>
        dataRows: <ROW_RESULT_DATA>*
    }])
}


RESULT_DATA: {
    estimable: true|false,
  estimable  logScale: true|false,
    mean: 0.0, (NOTE: ON THE SCALE OF ANALYSIS, SO LOG SCALE FOR LOG SCALE OUTCOMES)
    se: 0.0,
    ciStart: 0.0, (NOTE: ON THE SCALE OF ANALYSIS, SO LOG SCALE FOR LOG SCALE OUTCOMES)
    ciEnd: 0.0, (NOTE: ON THE SCALE OF ANALYSIS, SO LOG SCALE FOR LOG SCALE OUTCOMES)
    weight: 0.0
}


ROW_RESULT_DATA extends RESULT_DATA: {
    id: "<studyDataRowId>", (NOTE: this is not included in the meta-analysis API output, but is added by ReviewDB.)
    studyId,
    applicability: "SUBGROUP_ONLY" | "OVERALL_ONLY" | "SUBGROUP_AND_OVERALL",
    (notIncludedInTotal: true)? (NOTE: used to indicate that a subgroup row is not included in the calculation of the total)
}

SUBGROUP_RESULT_DATA extends RESULT_DATA: {
    id: "<subgroupAnalysisId>",
    (NOTE: this is not included in the meta-analysis API output, but is added by ReviewDB.) 
    heterogeneity: {
        chiSquared: 0.0,
        degreesOfFreedom: 0,
        iSquared: 0.0,
        p: 0.0,
        (tauSquared: 0.0)? (NOTE: FOR RANDOM EFFECTS)
    },
    overallEffect: {
        z: 0.0,
        p: 0.0
    },
    (experimental: {
        total: 0
    },
    control: {
        total: 0
    })?
}

OVERALL_RESULT_DATA extends SUBGROUP_RESULT_DATA: {
    (subgroupDifferences: {
        chiSquared: 0.0,
        degreesOfFreedom: 0,
        iSquared: 0.0,
        p: 0.0},)?
    (experimental: {
        total: 0
    },
    control: {
        total: 0
    })?
}

RESULT: {
    diagnosticDataRows: [
        <DIAGNOSTIC_RESULT_TEST_DATA_ROW>*
    ] |
    diagnosticSubgroups: [{
        meanD: 0.0,
        a: 0.0,
        b: 0.0,
        diagnosticDataRows: [
            <DIAGNOSTIC_RESULT_TEST_DATA_ROW>ROW_FOR_SUBGROUP>*
        ] 
    },...]
}

DIAGNOSTIC_RESULT_TEST_DATA_ROW: {
    sensitivity: 0.0,
    sensCiStart: 0.0,
    sensCiEnd: 0.0,
    specificity: 0.0,
    specCiStart: 0.0,
    specCiEnd: 0.0
}

DIAGNOSTIC_RESULT_TEST_DATA_ROW_FOR_SUBGROUP extends DIAGNOSTIC_RESULT_TEST_DATA_ROW: {
    d: 0.0,
    s: 0.0,
    weight: 0.0,
    scaleSpec: 0.0,
    scaleSens: 0.0
}

 (NOTE: both dataRows and subgroups should be provided when the overall results should be based on a separate analysis, e.g. subgroups with studies split by intervention.) 

INPUT: [{
    options: {
        dataType: "DICHOTOMOUS"|"CONTINUOUS"|"CONTRAST"|"OBSERVED_EXPECTED", (NOTE: CONTRAST maps to INVERSE_VARIANCE in RM5/ and CONTRAST_LEVEL in Review DB)
        method: "MH"|"GIV"|"PETO",
        effectMeasure: "MD"|"SMD"|"LOR"|"LRR"|"RD"|"PetoLOR"|"Generic",
        model: "FIXED"|"RANDOM",
        heterogeneityEstimator: "DL"|"REML",
        ciLevelRows: 0.90|0.95|0.99,
        ciLevelTotals: 0.90|0.95|0.99,
        swapEvents: true|false,
        logData: true|false,
        totals: "YES"|"SUB"|"NO"
    },    
    dataRows: [
        <DICHOTOMOUS_DATA>*|<CONTINUOUS_DATA>*|<CONTRAST_DATA>*|<OBSERVED_EXPECTED_DATA>*
    ]|,
    subgroups: [{
        dataRows: [
	        <DICHOTOMOUS_DATA>*|<CONTINUOUS_DATA>*|<CONTRAST_DATA>*|<OBSERVED_EXPECTED_DATA>*
        ]
    },...]
}]


DICHOTOMOUS_DATA: {
    studyId,
    experimental: {
        events: 0,
        total: 0
    },
    control: {
        events: 0,
        total: 0
    }
}
    
CONTINUOUS_DATA: {
    studyId, 
   experimental experimental: {
        total: 0,
        mean: 0.0,
        sd: 0.0
    },
    control: {
        total: 0,
        mean: 0.0,
        sd: 0.0
    }
}

CONTRAST_DATA: {
    estimatestudyId, 
    estimate: 0.0,
    se: 0.0
    (experimental: {
        total: 0
    },
    control: {
        total: 0
    })?
}

OBSERVED_EXPECTED_DATA: {
    studyId, 
   oe oe: 0.0,
    variance: 0.0,
    (experimental: {
        events: 0,
        total: 0
    },
    control: {
        events: 0,
        total: 0
    })?
}