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Seminars

Spurious Precision in Meta-Analysis

  • 2024-01-30 (Tue.), 10:30 AM
  • Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 10:10.
  • Lecture in English. Online live streaming through Cisco Webex will be available.
  • Prof. Heiko Rachinger
  • Department of Applied Economics at Universitat de les Illes Balears

Abstract

Meta-analysis upweights studies reporting lower standard errors and hence more precision. But in empirical practice, notably in observational research, precision is not given to the researcher. Precision must be estimated, and thus can be p-hacked to achieve statistical significance. Simulations show that a modest dose of spurious precision creates a formidable problem for inverse-variance weighting and bias-correction methods based on the funnel plot. Selection models fail to solve the problem, and the simple mean can beat sophisticated estimators. Cures to publication bias may become worse than the disease. We introduce an approach that surmounts spuriousness: the Meta-Analysis Instrumental Variable Estimator (MAIVE), which employs inverse sample size as an instrument for reported variance.

Please click here for participating the talk online.

Download

1130130 Prof. Heiko Rachinger(EN).pdf
Update:2024-01-26 15:54
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