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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 })? } |
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