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PUBLICATIONS

Estimating Common Mean and Heterogeneity Variance in Two Study Case Meta-Analysis

Published

Author(s)

Andrew L. Rukhin

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
Pub Type
Journals

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Keywords

DerSimonian-Laird procedure, Jeffreys prior, Meta-analysis, Mill's ratio, Quadratic risk, Random effects model, Restricted likelihood.
Statistical analysis

Citation

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 October 8, 2025)

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Created April 1, 2012, Updated January 27, 2020
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