Studies
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Two views on the same studies: cumulative pooled estimate as studies accrue (optionally by year), and subgroup pooled estimates with a between-subgroup Q test. Random-effects pooling via Paule-Mandel.
Independent, opt-in analysis. Paste a JSON array of rows with yi, sei (or vi),
integer year, optional n and label. Use log effects for RR/OR/HR and the original
analysis scale for MD/SMD. Null = 0; confidence level = 95%.
Example row: {"yi":0.3,"sei":0.1,"year":2020,"n":100}.
The cumulative/subgroup controls and their validation panel above concern PM only. P14 uses the separate inputs and exports below. All rows in a year enter together.
Every row needs a valid year (1 through 9999). Missing n is retained as unknown; participant totals are incomplete when any counted row lacks n.
No P14 analysis run.
| Year | Rows added | Cumulative k | Estimate | SE | CI lower | CI upper | Tau squared (RE) | Status | Evaluated | Reason |
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