How does the DerSimonian and Laird procedure for
random effects meta-analysis compare with its more efficient but harder to compute counterparts?
(2010)
Journal Article
random effects meta-analysis compare with its more efficient but harder to compute counterparts?. Journal of Statistical Planning and Inference, 140(4), 961-970. https://doi.org/10.1016/j.jspi.2009.09.017
The procedure suggested by DerSimonian and Laird is the simplest and most commonly used method for fitting the random effects model for meta-analysis. Here it is shown that, unless all studies are of similar size, this is inefficient when estimating... Read More about How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?.