Consequences of effect size heterogeneity for meta-analysis: a Monte Carlo study

DOI10.1007/S10260-009-0125-0zbMath1332.65018OpenAlexW2148038947WikidataQ58120510 ScholiaQ58120510MaRDI QIDQ257546

Mark J. Koetse, Henri L. F. de Groot, Raymond J. G. M. Florax

Publication date: 17 March 2016

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-009-0125-0

zbMATH Keywords

Monte Carlo analysismeta-analysiseffect size heterogeneitymixed effects meta-estimatorOLS meta-estimatorsmall sample performanceWLS meta-estimator

Mathematics Subject Classification ID

Monte Carlo methods (65C05)

Related Items (1)

Tracking truth through measurement and the spyglass of statistics

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