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Direct linkJackson, Dan – Research Synthesis Methods, 2013
Statistical inference is problematic in the common situation in meta-analysis where the random effects model is fitted to just a handful of studies. In particular, the asymptotic theory of maximum likelihood provides a poor approximation, and Bayesian methods are sensitive to the prior specification. Hence, less efficient, but easily computed and…
Descriptors: Computation, Statistical Analysis, Meta Analysis, Statistical Inference
