On random-effects meta-analysis.

@article{Zeng2015OnRM,
  title={On random-effects meta-analysis.},
  author={Donglin Zeng and Dan-Yu Lin},
  journal={Biometrika},
  year={2015},
  volume={102 2},
  pages={281-294}
}
Meta-analysis is widely used to compare and combine the results of multiple independent studies. To account for between-study heterogeneity, investigators often employ random-effects models, under which the effect sizes of interest are assumed to follow a normal distribution. It is common to estimate the mean effect size by a weighted linear combination of study-specific estimators, with the weight for each study being inversely proportional to the sum of the variance of the effect-size… CONTINUE READING
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