Rukhin, A.
(2012),
Estimating Common Mean and Heterogeneity Variance in Two Study Case Meta-Analysis, Statistics & Probability Letters, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=910111 (Accessed May 11, 2026)
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Estimating Common Mean and Heterogeneity Variance in Two Study Case Meta-Analysis
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Abstract
The relative behavior of estimators of the common mean and of the heterogeneity variance in the simplest random effects model of meta-analysis is explored. A simple estimator improving on the DerSimonian-Laird procedure is derived.Citation
Statistics & Probability Letters
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Journals
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Keywords
DerSimonian-Laird procedure, Jeffreys prior, Meta-analysis, Mill's ratio, Quadratic risk, Random effects model, Restricted likelihood.
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Created April 1, 2012, Updated January 27, 2020