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DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20240529T111751Z
CREATED:20240508T084946Z
LAST-MODIFIED:20240529T111751Z
UID:10000062-1718119800-1718125200@whatworksclimate.solutions
SUMMARY:Spurious Precision in Meta-Analysis of Observational Research
DESCRIPTION:Meta-analysis upweights studies reporting lower standard errors and hence more precision. But in observational settings\, precision is not given to the researcher. Precision must be estimated\, and thus can be p-hacked to achieve statistical significance. Simulations and applications show that spurious precision can invalidate inverse-variance weighting and bias-correction methods based on the funnel\nplot. Selection models fail to solve the problem\, and common cures to publication bias can become worse than the disease. We introduce a novel approach that addresses spuriousness and limits the resulting bias in meta-analysis.
URL:https://whatworksclimate.solutions/presentation/spurious-precision-in-meta-analysis-of-observational-research/
LOCATION:H 0104 (Elinor Ostrom Hall)
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