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 (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: {
        total: 0,
        mean: 0.0,
        sd: 0.0
    },
    control: {
        total: 0,
        mean: 0.0,
        sd: 0.0
    }
}

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

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