NIST logo

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

NIST Authors in Bold

Author(s): Andrew L. Rukhin;
Title: Estimating common mean and heterogeneity variance in two study case meta-analysis
Published: April 01, 2012
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
Keywords: DerSimonian-Laird procedure; Jeffreys prior; Meta-analysis; Mill's ratio; Quadratic risk; Random effects model; Restricted likelihood.
Research Areas: Statistics
PDF version: PDF Document Click here to retrieve PDF version of paper (426KB)