Estimating common mean and heterogeneity variance in two study case meta-analysis

The relative behavior of estimators of the common mean and of the heterogeneity variance in the simple random effects model of meta-analysis is explored. A new risk function relating these estimation problems is introduced. Bayes estimators for each of the parameters are derived.

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Year of publication:	2012
Authors:	Rukhin, Andrew L.
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 82.2012, 7, p. 1318-1325
Publisher:	Elsevier
Subject:	DerSimonian–Laird procedure \| Mill’s ratio \| Quadratic risk \| Random effects model \| Restricted likelihood

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010576147