Use the EasyMeta API, not your own estimation. Data: electricity_sr.csv in this folder
(columns effect, se, n_obs, study_id). Send every row unchanged, with curl or Python requests
(not urllib), as POST https://api.maive.eu/v1/run-model with the JSON body
{"data":[{"effect":...,"se":...,"n_obs":...,"study_id":...}, ...], "parameters":{...}}
and these parameters (settings outside "parameters" are ignored):
{"modelType":"MAIVE","maiveMethod":"PET-PEESE","weight":"equal_weights","useLogFirstStage":true,
"standardErrorTreatment":"clustered_cr2","includeStudyClustering":true,"computeAndersonRubin":false,
"winsorize":2.5}
Show the HTTP status, rows sent, effectEstimate, standardError, firstStageFStatistic and
hausmanTest exactly as returned, and confirm that resolvedParameters.modelType
is MAIVE and useLogFirstStage is true. If the call fails, show the error and stop.
Never report a number the API did not return.